Overview

Brought to you by YData

Dataset statistics

Number of variables134
Number of observations26208
Missing cells81708
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric113
Categorical19
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 26 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with Active power limit source and 6 other fieldsHigh correlation
Active power limit source is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 29 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 51 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Blades PitchAngle Max. [°] and 29 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 38 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 13 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 6 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 34 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Ambient Temp. Avg. [°C] and 40 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 4 other fieldsHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with missing_dataHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Rotor RPM StdDev [RPM] and 1 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Ambient Temp. Avg. [°C] and 14 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Ambient Temp. Avg. [°C] and 45 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 46 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with Ambient Temp. Avg. [°C] and 42 other fieldsHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Blades PitchAngle Max. [°] and 12 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 13 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 8 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 7 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Active power generator 0, Total accumulated [W] and 18 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 3 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 35 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with Active power limit [W] and 6 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 7 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with Grid Production ReactivePower Min. [W] and 5 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with HourCounters Average AmbientOk Avg. [h] and 5 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit source and 5 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with Active power limit [W] and 7 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with HourCounters Average AmbientOk Avg. [h] and 3 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 7 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with Grid Production ReactivePower Max. [W] and 1 other fieldsHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with Grid Production Frequency Avg. [Hz] and 1 other fieldsHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 35 other fieldsHigh correlation
Power factor set point is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Power factor set point source is highly overall correlated with Active power limit [W] and 4 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with Grid Production ReactivePower Min. [W] and 5 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Blades PitchAngle Avg. [°] and 29 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with HourCounters Average Gen1 Avg. [h] and 3 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with missing_dataHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 35 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Generator RPM StdDev [RPM] and 1 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with Active power limit [W] and 6 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 26 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly imbalanced (97.8%) Imbalance
Active power limit source is highly imbalanced (98.5%) Imbalance
Power factor set point is highly imbalanced (98.5%) Imbalance
Power factor set point source is highly imbalanced (98.5%) Imbalance
missing_data is highly imbalanced (83.9%) Imbalance
Generator RPM Max. [RPM] has 619 (2.4%) missing values Missing
Generator RPM Min. [RPM] has 619 (2.4%) missing values Missing
Generator RPM Avg. [RPM] has 619 (2.4%) missing values Missing
Generator RPM StdDev [RPM] has 619 (2.4%) missing values Missing
Generator Bearing Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Generator Phase1 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Generator Phase2 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Generator Phase3 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Generator SlipRing Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Generator Bearing2 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Generator CoolingWater Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Hydraulic Oil Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Gear Oil Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Gear Bearing Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Gear Oil TemperatureBasis Avg. [°C] has 619 (2.4%) missing values Missing
Gear Oil TemperatureLevel1 Avg. [°C] has 619 (2.4%) missing values Missing
Gear Oil TemperatureLevel2_3 Avg. [°C] has 619 (2.4%) missing values Missing
Gear Bearing TemperatureHSRotorEnd Avg. [°C] has 619 (2.4%) missing values Missing
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] has 619 (2.4%) missing values Missing
Gear Bearing TemperatureHSMiddle Avg. [°C] has 619 (2.4%) missing values Missing
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] has 619 (2.4%) missing values Missing
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] has 619 (2.4%) missing values Missing
Nacelle Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Avg. direction [°] has 619 (2.4%) missing values Missing
Rotor RPM Max. [RPM] has 619 (2.4%) missing values Missing
Rotor RPM Min. [RPM] has 619 (2.4%) missing values Missing
Rotor RPM Avg. [RPM] has 619 (2.4%) missing values Missing
Rotor RPM StdDev [RPM] has 619 (2.4%) missing values Missing
Ambient WindSpeed Max. [m/s] has 619 (2.4%) missing values Missing
Ambient WindSpeed Min. [m/s] has 619 (2.4%) missing values Missing
Ambient WindSpeed Avg. [m/s] has 619 (2.4%) missing values Missing
Ambient WindSpeed StdDev [m/s] has 619 (2.4%) missing values Missing
Ambient WindDir Relative Avg. [°] has 619 (2.4%) missing values Missing
Ambient WindDir Absolute Avg. [°] has 619 (2.4%) missing values Missing
Ambient Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Ambient WindSpeed Estimated Avg. [m/s] has 619 (2.4%) missing values Missing
Grid InverterPhase1 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Grid RotorInvPhase1 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Grid RotorInvPhase2 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Grid RotorInvPhase3 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Grid Production Power Avg. [W] has 619 (2.4%) missing values Missing
Grid Production CosPhi Avg. has 619 (2.4%) missing values Missing
Grid Production Frequency Avg. [Hz] has 619 (2.4%) missing values Missing
Grid Production VoltagePhase1 Avg. [V] has 619 (2.4%) missing values Missing
Grid Production VoltagePhase2 Avg. [V] has 619 (2.4%) missing values Missing
Grid Production VoltagePhase3 Avg. [V] has 619 (2.4%) missing values Missing
Grid Production CurrentPhase1 Avg. [A] has 619 (2.4%) missing values Missing
Grid Production CurrentPhase2 Avg. [A] has 619 (2.4%) missing values Missing
Grid Production CurrentPhase3 Avg. [A] has 619 (2.4%) missing values Missing
Grid Production Power Max. [W] has 619 (2.4%) missing values Missing
Grid Production Power Min. [W] has 619 (2.4%) missing values Missing
Grid Busbar Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Grid Production Power StdDev [W] has 619 (2.4%) missing values Missing
Grid Production ReactivePower Avg. [W] has 619 (2.4%) missing values Missing
Grid Production ReactivePower Max. [W] has 619 (2.4%) missing values Missing
Grid Production ReactivePower Min. [W] has 619 (2.4%) missing values Missing
Grid Production ReactivePower StdDev [W] has 619 (2.4%) missing values Missing
Grid Production PossiblePower Avg. [W] has 619 (2.4%) missing values Missing
Grid Production PossiblePower Max. [W] has 619 (2.4%) missing values Missing
Grid Production PossiblePower Min. [W] has 619 (2.4%) missing values Missing
Grid Production PossiblePower StdDev [W] has 619 (2.4%) missing values Missing
Grid Production PossibleInductive Avg. [var] has 619 (2.4%) missing values Missing
Grid Production PossibleInductive Max. [var] has 619 (2.4%) missing values Missing
Grid Production PossibleInductive Min. [var] has 619 (2.4%) missing values Missing
Grid Production PossibleInductive StdDev [var] has 619 (2.4%) missing values Missing
Grid Production PossibleCapacitive Avg. [var] has 619 (2.4%) missing values Missing
Grid Production PossibleCapacitive Max. [var] has 619 (2.4%) missing values Missing
Grid Production PossibleCapacitive Min. [var] has 619 (2.4%) missing values Missing
Grid Production PossibleCapacitive StdDev [var] has 619 (2.4%) missing values Missing
Active power limit [W] has 619 (2.4%) missing values Missing
Active power limit source has 619 (2.4%) missing values Missing
Reactive power set point [var] has 619 (2.4%) missing values Missing
Power factor set point has 619 (2.4%) missing values Missing
Power factor set point source has 619 (2.4%) missing values Missing
Controller Ground Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Controller Top Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Controller Hub Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Controller VCP Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Controller VCP ChokecoilTemp. Avg. [°C] has 619 (2.4%) missing values Missing
Controller VCP WaterTemp. Avg. [°C] has 619 (2.4%) missing values Missing
Spinner Temp. Avg. [°C] has 619 (2.4%) missing values Missing
Spinner Temp. SlipRing Avg. [°C] has 619 (2.4%) missing values Missing
Blades PitchAngle Min. [°] has 619 (2.4%) missing values Missing
Blades PitchAngle Max. [°] has 619 (2.4%) missing values Missing
Blades PitchAngle Avg. [°] has 619 (2.4%) missing values Missing
Blades PitchAngle StdDev [°] has 619 (2.4%) missing values Missing
HVTrafo Phase1 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
HVTrafo Phase2 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
HVTrafo Phase3 Temp. Avg. [°C] has 619 (2.4%) missing values Missing
HVTrafo AirOutlet Temp. Avg. [°C] has 619 (2.4%) missing values Missing
HourCounters Average Total Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average GridOn Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average GridOk Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average TurbineOk Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average Run Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average Gen1 Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average Gen2 Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average Yaw Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average ServiceOn Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average AmbientOk Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average WindOk Avg. [h] has 619 (2.4%) missing values Missing
HourCounters Average AlarmActive Avg. [h] has 619 (2.4%) missing values Missing
Total hour counter [h] has 619 (2.4%) missing values Missing
Grid on hours [h] has 619 (2.4%) missing values Missing
Grid ok hours [h] has 619 (2.4%) missing values Missing
Turbine ok hours [h] has 619 (2.4%) missing values Missing
Run hours [h] has 619 (2.4%) missing values Missing
Generator 1 hours [h] has 619 (2.4%) missing values Missing
Generator 2 hours [h] has 619 (2.4%) missing values Missing
Yaw hours [h] has 619 (2.4%) missing values Missing
Service hours [h] has 619 (2.4%) missing values Missing
Ambient ok hours [h] has 619 (2.4%) missing values Missing
Wind ok hours [h] has 619 (2.4%) missing values Missing
Production LatestAverage Active Power Gen 0 Avg. [W] has 619 (2.4%) missing values Missing
Production LatestAverage Active Power Gen 1 Avg. [W] has 619 (2.4%) missing values Missing
Production LatestAverage Active Power Gen 2 Avg. [W] has 619 (2.4%) missing values Missing
Production LatestAverage Total Active Power Avg. [W] has 619 (2.4%) missing values Missing
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 619 (2.4%) missing values Missing
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 619 (2.4%) missing values Missing
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 619 (2.4%) missing values Missing
Production LatestAverage Total Reactive Power Avg. [var] has 619 (2.4%) missing values Missing
Active power generator 0, Total accumulated [W] has 619 (2.4%) missing values Missing
Active power generator 1, Total accumulated [W] has 619 (2.4%) missing values Missing
Active power generator 2, Total accumulated [W] has 619 (2.4%) missing values Missing
Total Active power [W] has 619 (2.4%) missing values Missing
Reactive power generator 0,Total accumulated [var] has 619 (2.4%) missing values Missing
Reactive power generator 1, Total accumulated [var] has 619 (2.4%) missing values Missing
Reactive power generator 2, Total accumulated [var] has 619 (2.4%) missing values Missing
Total reactive power [var] has 619 (2.4%) missing values Missing
System Logs First Active Alarm No has 619 (2.4%) missing values Missing
First Alarm parameter 1 in 10 min frame has 619 (2.4%) missing values Missing
First Alarm parameter 2 in 10 min frame has 619 (2.4%) missing values Missing
Generator RPM Min. [RPM] is highly skewed (γ1 = 46.60455718) Skewed
Rotor RPM Min. [RPM] is highly skewed (γ1 = 111.9122378) Skewed
Ambient WindSpeed Min. [m/s] is highly skewed (γ1 = 112.7237171) Skewed
Blades PitchAngle Min. [°] is highly skewed (γ1 = -72.30571637) Skewed
Blades PitchAngle Max. [°] is highly skewed (γ1 = 80.67140462) Skewed
HourCounters Average GridOn Avg. [h] is highly skewed (γ1 = -23.86886606) Skewed
Service hours [h] is highly skewed (γ1 = -55.27427474) Skewed
First Alarm parameter 2 in 10 min frame is highly skewed (γ1 = 55.73692138) Skewed
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 964 (3.7%) zeros Zeros
Generator RPM Min. [RPM] has 2033 (7.8%) zeros Zeros
Generator RPM Avg. [RPM] has 1396 (5.3%) zeros Zeros
Generator RPM StdDev [RPM] has 1277 (4.9%) zeros Zeros
Rotor RPM Max. [RPM] has 1312 (5.0%) zeros Zeros
Rotor RPM Min. [RPM] has 2200 (8.4%) zeros Zeros
Rotor RPM Avg. [RPM] has 1698 (6.5%) zeros Zeros
Rotor RPM StdDev [RPM] has 8227 (31.4%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 17780 (67.8%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 9656 (36.8%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 3870 (14.8%) zeros Zeros
Grid Production PossiblePower Max. [W] has 3789 (14.5%) zeros Zeros
Grid Production PossiblePower Min. [W] has 4444 (17.0%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 4180 (15.9%) zeros Zeros
Blades PitchAngle Min. [°] has 297 (1.1%) zeros Zeros
Blades PitchAngle Avg. [°] has 456 (1.7%) zeros Zeros
Blades PitchAngle StdDev [°] has 4865 (18.6%) zeros Zeros
HourCounters Average Run Avg. [h] has 642 (2.4%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 16499 (63.0%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 12940 (49.4%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 10421 (39.8%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 25435 (97.1%) zeros Zeros
HourCounters Average AmbientOk Avg. [h] has 287 (1.1%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 6878 (26.2%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 24769 (94.5%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 18467 (70.5%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 16465 (62.8%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 12871 (49.1%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 18491 (70.6%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 21789 (83.1%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 22893 (87.4%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 14422 (55.0%) zeros Zeros
System Logs First Active Alarm No has 24769 (94.5%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25339 (96.7%) zeros Zeros
First Alarm parameter 2 in 10 min frame has 25576 (97.6%) zeros Zeros

Reproduction

Analysis started2025-05-05 15:40:53.103785
Analysis finished2025-05-05 15:41:22.922570
Duration29.82 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-05T17:41:22.962236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-05T17:41:23.045384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1256
Distinct (%)4.9%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1179.6779
Minimum0
Maximum1895
Zeros964
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:23.128564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q11059
median1260
Q31646
95-th percentile1739
Maximum1895
Range1895
Interquartile range (IQR)587

Descriptive statistics

Standard deviation539.11551
Coefficient of variation (CV)0.45700229
Kurtosis-0.11894494
Mean1179.6779
Median Absolute Deviation (MAD)357
Skewness-1.0106417
Sum30186778
Variance290645.53
MonotonicityNot monotonic
2025-05-05T17:41:23.204574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 964
 
3.7%
1055 443
 
1.7%
1056 368
 
1.4%
1057 329
 
1.3%
1058 292
 
1.1%
1061 273
 
1.0%
1059 241
 
0.9%
1063 241
 
0.9%
1060 234
 
0.9%
1062 231
 
0.9%
Other values (1246) 21973
83.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 964
3.7%
1 131
 
0.5%
2 69
 
0.3%
3 64
 
0.2%
4 51
 
0.2%
5 44
 
0.2%
6 28
 
0.1%
7 25
 
0.1%
8 27
 
0.1%
9 24
 
0.1%
ValueCountFrequency (%)
1895 1
< 0.1%
1887 1
< 0.1%
1881 1
< 0.1%
1880 1
< 0.1%
1878 2
< 0.1%
1875 1
< 0.1%
1871 1
< 0.1%
1869 1
< 0.1%
1867 1
< 0.1%
1863 1
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Missing  Skewed  Zeros 

Distinct1127
Distinct (%)4.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean959.20665
Minimum0
Maximum65535
Zeros2033
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:23.282051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1963
median1040
Q31276
95-th percentile1610
Maximum65535
Range65535
Interquartile range (IQR)313

Descriptive statistics

Standard deviation766.01827
Coefficient of variation (CV)0.79859566
Kurtosis3945.8402
Mean959.20665
Median Absolute Deviation (MAD)224
Skewness46.604557
Sum24545139
Variance586783.99
MonotonicityNot monotonic
2025-05-05T17:41:23.358624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2033
 
7.8%
1043 703
 
2.7%
1042 650
 
2.5%
1041 507
 
1.9%
1040 478
 
1.8%
1038 465
 
1.8%
1039 456
 
1.7%
1044 446
 
1.7%
1037 423
 
1.6%
1035 379
 
1.4%
Other values (1117) 19049
72.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2033
7.8%
1 49
 
0.2%
2 56
 
0.2%
3 42
 
0.2%
4 30
 
0.1%
5 25
 
0.1%
6 17
 
0.1%
7 10
 
< 0.1%
8 7
 
< 0.1%
9 6
 
< 0.1%
ValueCountFrequency (%)
65535 2
 
< 0.1%
1636 1
 
< 0.1%
1635 2
 
< 0.1%
1634 1
 
< 0.1%
1633 9
 
< 0.1%
1632 9
 
< 0.1%
1631 5
 
< 0.1%
1630 20
0.1%
1629 24
0.1%
1628 20
0.1%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1531
Distinct (%)6.0%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1066.3524
Minimum0
Maximum1647
Zeros1396
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:23.434240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11049
median1083
Q31534
95-th percentile1640
Maximum1647
Range1647
Interquartile range (IQR)485

Descriptive statistics

Standard deviation519.29273
Coefficient of variation (CV)0.48698041
Kurtosis-0.39332585
Mean1066.3524
Median Absolute Deviation (MAD)362
Skewness-0.83801135
Sum27286892
Variance269664.94
MonotonicityNot monotonic
2025-05-05T17:41:23.511640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049 3675
 
14.0%
1639 1838
 
7.0%
0 1396
 
5.3%
1050 540
 
2.1%
1640 463
 
1.8%
1638 409
 
1.6%
1641 330
 
1.3%
1642 314
 
1.2%
1051 253
 
1.0%
1048 216
 
0.8%
Other values (1521) 16155
61.6%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 1396
5.3%
1 102
 
0.4%
2 42
 
0.2%
3 32
 
0.1%
4 36
 
0.1%
5 21
 
0.1%
6 14
 
0.1%
7 22
 
0.1%
8 21
 
0.1%
9 10
 
< 0.1%
ValueCountFrequency (%)
1647 4
 
< 0.1%
1646 7
 
< 0.1%
1645 36
 
0.1%
1644 114
 
0.4%
1643 211
 
0.8%
1642 314
 
1.2%
1641 330
 
1.3%
1640 463
 
1.8%
1639 1838
7.0%
1638 409
 
1.6%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct546
Distinct (%)2.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean56.513267
Minimum0
Maximum780
Zeros1277
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:23.589701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median26
Q375
95-th percentile214
Maximum780
Range780
Interquartile range (IQR)68

Descriptive statistics

Standard deviation84.826851
Coefficient of variation (CV)1.5010077
Kurtosis14.597413
Mean56.513267
Median Absolute Deviation (MAD)23
Skewness3.2950209
Sum1446118
Variance7195.5946
MonotonicityNot monotonic
2025-05-05T17:41:23.669997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1422
 
5.4%
0 1277
 
4.9%
3 899
 
3.4%
5 796
 
3.0%
6 762
 
2.9%
7 741
 
2.8%
4 739
 
2.8%
8 647
 
2.5%
9 578
 
2.2%
10 455
 
1.7%
Other values (536) 17273
65.9%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 1277
4.9%
1 369
 
1.4%
2 1422
5.4%
3 899
3.4%
4 739
2.8%
5 796
3.0%
6 762
2.9%
7 741
2.8%
8 647
2.5%
9 578
2.2%
ValueCountFrequency (%)
780 2
< 0.1%
778 1
< 0.1%
776 1
< 0.1%
772 2
< 0.1%
771 1
< 0.1%
770 1
< 0.1%
767 1
< 0.1%
766 1
< 0.1%
761 1
< 0.1%
757 1
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct53
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean38.155223
Minimum0
Maximum70
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:23.748312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q133
median37
Q343
95-th percentile50
Maximum70
Range70
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.7275163
Coefficient of variation (CV)0.17631967
Kurtosis0.0094361934
Mean38.155223
Median Absolute Deviation (MAD)5
Skewness0.55141778
Sum976354
Variance45.259475
MonotonicityNot monotonic
2025-05-05T17:41:23.829054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 2699
 
10.3%
32 2014
 
7.7%
34 1989
 
7.6%
36 1379
 
5.3%
42 1212
 
4.6%
41 1205
 
4.6%
35 1201
 
4.6%
40 1173
 
4.5%
31 1145
 
4.4%
43 1008
 
3.8%
Other values (43) 10564
40.3%
ValueCountFrequency (%)
0 2
 
< 0.1%
18 18
 
0.1%
19 1
 
< 0.1%
20 1
 
< 0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
24 36
 
0.1%
25 105
 
0.4%
26 145
 
0.6%
27 374
1.4%
ValueCountFrequency (%)
70 2
 
< 0.1%
69 4
 
< 0.1%
68 2
 
< 0.1%
67 6
 
< 0.1%
66 3
 
< 0.1%
65 5
 
< 0.1%
64 2
 
< 0.1%
63 7
< 0.1%
62 8
< 0.1%
61 15
0.1%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct91
Distinct (%)0.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean49.055922
Minimum0
Maximum107
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:23.910482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q136
median42
Q359
95-th percentile93
Maximum107
Range107
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.335024
Coefficient of variation (CV)0.39414251
Kurtosis0.49835162
Mean49.055922
Median Absolute Deviation (MAD)10
Skewness1.1495952
Sum1255292
Variance373.84317
MonotonicityNot monotonic
2025-05-05T17:41:23.987929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 1520
 
5.8%
39 1154
 
4.4%
29 1129
 
4.3%
40 1083
 
4.1%
37 1031
 
3.9%
28 923
 
3.5%
30 852
 
3.3%
41 850
 
3.2%
36 762
 
2.9%
42 701
 
2.7%
Other values (81) 15584
59.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
18 10
 
< 0.1%
19 11
 
< 0.1%
20 8
 
< 0.1%
21 10
 
< 0.1%
22 6
 
< 0.1%
23 13
 
< 0.1%
24 12
 
< 0.1%
25 27
 
0.1%
26 92
0.4%
ValueCountFrequency (%)
107 2
 
< 0.1%
106 4
 
< 0.1%
105 17
 
0.1%
104 62
 
0.2%
103 99
0.4%
102 126
0.5%
101 148
0.6%
100 160
0.6%
99 123
0.5%
98 119
0.5%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct94
Distinct (%)0.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean50.524053
Minimum0
Maximum110
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:24.066566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q137
median43
Q361
95-th percentile96
Maximum110
Range110
Interquartile range (IQR)24

Descriptive statistics

Standard deviation20.17039
Coefficient of variation (CV)0.39922351
Kurtosis0.35600284
Mean50.524053
Median Absolute Deviation (MAD)11
Skewness1.0937033
Sum1292860
Variance406.84463
MonotonicityNot monotonic
2025-05-05T17:41:24.142692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1302
 
5.0%
39 1278
 
4.9%
29 1117
 
4.3%
38 1066
 
4.1%
41 983
 
3.8%
42 937
 
3.6%
28 848
 
3.2%
30 790
 
3.0%
44 663
 
2.5%
43 659
 
2.5%
Other values (84) 15946
60.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
18 15
 
0.1%
19 5
 
< 0.1%
20 7
 
< 0.1%
21 9
 
< 0.1%
22 7
 
< 0.1%
23 13
 
< 0.1%
24 11
 
< 0.1%
25 27
 
0.1%
26 100
0.4%
ValueCountFrequency (%)
110 1
 
< 0.1%
109 3
 
< 0.1%
108 13
 
< 0.1%
107 49
 
0.2%
106 84
0.3%
105 122
0.5%
104 159
0.6%
103 166
0.6%
102 113
0.4%
101 129
0.5%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct91
Distinct (%)0.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean49.601352
Minimum0
Maximum107
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:24.219112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q136
median43
Q360
95-th percentile94
Maximum107
Range107
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.450157
Coefficient of variation (CV)0.39212957
Kurtosis0.40682807
Mean49.601352
Median Absolute Deviation (MAD)10
Skewness1.1114976
Sum1269249
Variance378.3086
MonotonicityNot monotonic
2025-05-05T17:41:24.297413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 1329
 
5.1%
39 1262
 
4.8%
40 1211
 
4.6%
29 1118
 
4.3%
41 894
 
3.4%
30 857
 
3.3%
28 839
 
3.2%
37 833
 
3.2%
42 814
 
3.1%
44 664
 
2.5%
Other values (81) 15768
60.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
18 11
 
< 0.1%
19 9
 
< 0.1%
20 7
 
< 0.1%
21 10
 
< 0.1%
22 7
 
< 0.1%
23 12
 
< 0.1%
24 11
 
< 0.1%
25 24
 
0.1%
26 84
0.3%
ValueCountFrequency (%)
107 4
 
< 0.1%
106 3
 
< 0.1%
105 20
 
0.1%
104 69
 
0.3%
103 114
0.4%
102 133
0.5%
101 174
0.7%
100 139
0.5%
99 122
0.5%
98 127
0.5%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct37
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean30.12056
Minimum0
Maximum45
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:24.368813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q128
median31
Q333
95-th percentile36
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.1492736
Coefficient of variation (CV)0.13775553
Kurtosis0.35935818
Mean30.12056
Median Absolute Deviation (MAD)3
Skewness-0.47452136
Sum770755
Variance17.216472
MonotonicityNot monotonic
2025-05-05T17:41:24.433147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
32 2542
9.7%
30 2481
9.5%
33 2425
9.3%
34 2297
8.8%
31 2289
8.7%
29 2148
 
8.2%
28 1900
 
7.2%
27 1532
 
5.8%
35 1394
 
5.3%
26 1096
 
4.2%
Other values (27) 5485
20.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
10 2
 
< 0.1%
11 1
 
< 0.1%
12 3
 
< 0.1%
13 2
 
< 0.1%
14 2
 
< 0.1%
15 7
 
< 0.1%
16 12
 
< 0.1%
17 10
 
< 0.1%
18 49
0.2%
ValueCountFrequency (%)
45 2
 
< 0.1%
44 5
 
< 0.1%
43 17
 
0.1%
42 27
 
0.1%
41 40
 
0.2%
40 66
 
0.3%
39 83
 
0.3%
38 142
 
0.5%
37 396
 
1.5%
36 1092
4.2%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct52
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean41.925515
Minimum0
Maximum71
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:24.503315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q136
median40
Q348
95-th percentile58
Maximum71
Range71
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.3851425
Coefficient of variation (CV)0.20000094
Kurtosis-0.33572624
Mean41.925515
Median Absolute Deviation (MAD)5
Skewness0.51173965
Sum1072832
Variance70.310616
MonotonicityNot monotonic
2025-05-05T17:41:24.582147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 2395
 
9.1%
37 1740
 
6.6%
38 1389
 
5.3%
35 1327
 
5.1%
34 1019
 
3.9%
40 1007
 
3.8%
44 1002
 
3.8%
42 975
 
3.7%
46 953
 
3.6%
43 917
 
3.5%
Other values (42) 12865
49.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
19 14
 
0.1%
20 3
 
< 0.1%
21 2
 
< 0.1%
23 1
 
< 0.1%
25 54
 
0.2%
26 136
0.5%
27 207
0.8%
28 300
1.1%
29 234
0.9%
ValueCountFrequency (%)
71 2
 
< 0.1%
70 3
 
< 0.1%
69 11
 
< 0.1%
68 6
 
< 0.1%
67 6
 
< 0.1%
66 15
 
0.1%
65 24
 
0.1%
64 18
 
0.1%
63 48
0.2%
62 108
0.4%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct37
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean31.680605
Minimum0
Maximum49
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:24.656025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q128
median30
Q335
95-th percentile39
Maximum49
Range49
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.9468912
Coefficient of variation (CV)0.12458383
Kurtosis0.53680545
Mean31.680605
Median Absolute Deviation (MAD)2
Skewness0.57469557
Sum810675
Variance15.57795
MonotonicityNot monotonic
2025-05-05T17:41:24.725131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
28 5095
19.4%
29 4684
17.9%
34 3044
11.6%
35 2677
10.2%
30 2005
 
7.7%
36 1115
 
4.3%
33 1062
 
4.1%
31 996
 
3.8%
27 960
 
3.7%
32 921
 
3.5%
Other values (27) 3030
11.6%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
14 1
 
< 0.1%
15 3
 
< 0.1%
16 3
 
< 0.1%
17 11
 
< 0.1%
18 13
< 0.1%
19 30
0.1%
20 14
0.1%
21 23
0.1%
22 19
0.1%
ValueCountFrequency (%)
49 1
 
< 0.1%
48 11
 
< 0.1%
47 7
 
< 0.1%
46 22
 
0.1%
45 26
 
0.1%
44 13
 
< 0.1%
43 19
 
0.1%
42 229
0.9%
41 343
1.3%
40 562
2.1%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct33
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean50.220876
Minimum0
Maximum55
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:24.790132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q148
median51
Q353
95-th percentile54
Maximum55
Range55
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2386429
Coefficient of variation (CV)0.06448798
Kurtosis9.1115569
Mean50.220876
Median Absolute Deviation (MAD)2
Skewness-1.5544139
Sum1285102
Variance10.488808
MonotonicityNot monotonic
2025-05-05T17:41:24.851270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
53 4327
16.5%
54 3537
13.5%
52 3441
13.1%
51 2639
10.1%
50 2218
8.5%
49 1935
7.4%
48 1883
7.2%
45 1769
6.7%
47 1692
 
6.5%
46 1561
 
6.0%
Other values (23) 587
 
2.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
17 2
 
< 0.1%
22 2
 
< 0.1%
23 5
 
< 0.1%
27 4
 
< 0.1%
28 3
 
< 0.1%
29 2
 
< 0.1%
30 2
 
< 0.1%
31 18
0.1%
32 23
0.1%
ValueCountFrequency (%)
55 4
 
< 0.1%
54 3537
13.5%
53 4327
16.5%
52 3441
13.1%
51 2639
10.1%
50 2218
8.5%
49 1935
7.4%
48 1883
7.2%
47 1692
 
6.5%
46 1561
 
6.0%

Gear Oil Temp. Avg. [°C]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.6 MiB
999.0
25589 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters127945
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:24.913245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:24.946866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.6 MiB
999.0
25589 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters127945
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:24.986319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:25.019250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct49
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean53.793271
Minimum0
Maximum67
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:25.068893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q151
median53
Q357
95-th percentile63
Maximum67
Range67
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1501391
Coefficient of variation (CV)0.095739469
Kurtosis2.5189913
Mean53.793271
Median Absolute Deviation (MAD)3
Skewness-0.39103962
Sum1376516
Variance26.523933
MonotonicityNot monotonic
2025-05-05T17:41:25.149465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
52 5558
21.2%
53 2029
 
7.7%
51 1913
 
7.3%
50 1716
 
6.5%
63 1599
 
6.1%
54 1512
 
5.8%
55 1338
 
5.1%
56 1185
 
4.5%
62 1056
 
4.0%
57 921
 
3.5%
Other values (39) 6762
25.8%
ValueCountFrequency (%)
0 2
 
< 0.1%
17 2
 
< 0.1%
20 1
 
< 0.1%
21 2
 
< 0.1%
22 4
 
< 0.1%
23 3
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
27 9
< 0.1%
28 12
< 0.1%
ValueCountFrequency (%)
67 3
 
< 0.1%
66 12
 
< 0.1%
65 7
 
< 0.1%
64 18
 
0.1%
63 1599
6.1%
62 1056
4.0%
61 876
3.3%
60 773
2.9%
59 899
3.4%
58 838
3.2%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct35
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean48.932119
Minimum0
Maximum55
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:25.220313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q149
median49
Q350
95-th percentile51
Maximum55
Range55
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.2640585
Coefficient of variation (CV)0.046269374
Kurtosis49.902779
Mean48.932119
Median Absolute Deviation (MAD)0
Skewness-5.1293878
Sum1252124
Variance5.125961
MonotonicityNot monotonic
2025-05-05T17:41:25.287129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
49 15358
58.6%
51 3425
 
13.1%
50 3361
 
12.8%
48 767
 
2.9%
46 455
 
1.7%
45 442
 
1.7%
47 431
 
1.6%
52 286
 
1.1%
44 241
 
0.9%
43 208
 
0.8%
Other values (25) 615
 
2.3%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
18 1
 
< 0.1%
19 8
 
< 0.1%
21 3
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
27 2
 
< 0.1%
28 20
0.1%
29 2
 
< 0.1%
30 4
 
< 0.1%
ValueCountFrequency (%)
55 16
 
0.1%
54 46
 
0.2%
53 17
 
0.1%
52 286
 
1.1%
51 3425
 
13.1%
50 3361
 
12.8%
49 15358
58.6%
48 767
 
2.9%
47 431
 
1.6%
46 455
 
1.7%

Gear Oil TemperatureLevel2_3 Avg. [°C]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:25.351568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:25.385679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct52
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean57.321974
Minimum0
Maximum73
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:25.433120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q152
median56
Q365
95-th percentile70
Maximum73
Range73
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.1198143
Coefficient of variation (CV)0.14165273
Kurtosis-0.31758755
Mean57.321974
Median Absolute Deviation (MAD)6
Skewness-0.073003167
Sum1466812
Variance65.931384
MonotonicityNot monotonic
2025-05-05T17:41:25.510056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 2258
 
8.6%
70 2152
 
8.2%
54 1903
 
7.3%
52 1450
 
5.5%
69 1354
 
5.2%
55 1199
 
4.6%
50 1161
 
4.4%
56 1031
 
3.9%
68 886
 
3.4%
57 863
 
3.3%
Other values (42) 11332
43.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
20 10
< 0.1%
21 3
 
< 0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
27 1
 
< 0.1%
30 21
0.1%
31 3
 
< 0.1%
ValueCountFrequency (%)
73 10
 
< 0.1%
72 12
 
< 0.1%
71 27
 
0.1%
70 2152
8.2%
69 1354
5.2%
68 886
3.4%
67 785
 
3.0%
66 670
 
2.6%
65 600
 
2.3%
64 558
 
2.1%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct57
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean57.482434
Minimum0
Maximum76
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:25.586845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q153
median56
Q364
95-th percentile72
Maximum76
Range76
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.2193703
Coefficient of variation (CV)0.14298925
Kurtosis-0.010551609
Mean57.482434
Median Absolute Deviation (MAD)5
Skewness-0.044708092
Sum1470918
Variance67.558049
MonotonicityNot monotonic
2025-05-05T17:41:25.663080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 2848
 
10.9%
55 2634
 
10.1%
56 1731
 
6.6%
72 1259
 
4.8%
57 952
 
3.6%
71 904
 
3.4%
53 899
 
3.4%
50 866
 
3.3%
59 840
 
3.2%
58 825
 
3.1%
Other values (47) 11831
45.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
19 9
< 0.1%
20 3
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
28 1
 
< 0.1%
29 20
0.1%
ValueCountFrequency (%)
76 3
 
< 0.1%
75 9
 
< 0.1%
74 12
 
< 0.1%
73 34
 
0.1%
72 1259
4.8%
71 904
3.4%
70 676
2.6%
69 609
2.3%
68 624
2.4%
67 630
2.4%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct57
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean56.960335
Minimum0
Maximum76
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:25.738727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q154
median55
Q362
95-th percentile72
Maximum76
Range76
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.9656493
Coefficient of variation (CV)0.13984555
Kurtosis0.27159294
Mean56.960335
Median Absolute Deviation (MAD)4
Skewness0.18273335
Sum1457558
Variance63.451569
MonotonicityNot monotonic
2025-05-05T17:41:26.383458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 6265
23.9%
55 1833
 
7.0%
56 1157
 
4.4%
72 1124
 
4.3%
50 843
 
3.2%
57 826
 
3.2%
58 769
 
2.9%
53 739
 
2.8%
59 733
 
2.8%
71 690
 
2.6%
Other values (47) 10610
40.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
19 9
< 0.1%
20 3
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
23 1
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
28 1
 
< 0.1%
29 20
0.1%
ValueCountFrequency (%)
76 6
 
< 0.1%
75 7
 
< 0.1%
74 13
 
< 0.1%
73 458
1.7%
72 1124
4.3%
71 690
2.6%
70 511
1.9%
69 474
1.8%
68 431
 
1.6%
67 508
1.9%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct48
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean61.925749
Minimum0
Maximum71
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:26.461194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q161
median63
Q368
95-th percentile69
Maximum71
Range71
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.7084926
Coefficient of variation (CV)0.1244796
Kurtosis1.5425924
Mean61.925749
Median Absolute Deviation (MAD)5
Skewness-1.3920137
Sum1584618
Variance59.420858
MonotonicityNot monotonic
2025-05-05T17:41:26.538047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
69 5745
21.9%
63 4518
17.2%
62 2239
 
8.5%
68 1503
 
5.7%
64 1447
 
5.5%
67 1332
 
5.1%
65 1080
 
4.1%
66 1051
 
4.0%
51 592
 
2.3%
50 531
 
2.0%
Other values (38) 5551
21.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
22 13
< 0.1%
23 2
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
28 1
 
< 0.1%
30 1
 
< 0.1%
31 20
0.1%
32 7
 
< 0.1%
33 11
< 0.1%
ValueCountFrequency (%)
71 15
 
0.1%
70 145
 
0.6%
69 5745
21.9%
68 1503
 
5.7%
67 1332
 
5.1%
66 1051
 
4.0%
65 1080
 
4.1%
64 1447
 
5.5%
63 4518
17.2%
62 2239
 
8.5%

Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct53
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean58.878073
Minimum0
Maximum73
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:26.616569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q158
median60
Q363
95-th percentile69
Maximum73
Range73
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.4153964
Coefficient of variation (CV)0.12594496
Kurtosis1.2606883
Mean58.878073
Median Absolute Deviation (MAD)3
Skewness-0.96789122
Sum1506631
Variance54.988103
MonotonicityNot monotonic
2025-05-05T17:41:26.695982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 4617
17.6%
60 4198
16.0%
61 1684
 
6.4%
69 1400
 
5.3%
70 1086
 
4.1%
62 1010
 
3.9%
63 915
 
3.5%
64 797
 
3.0%
65 781
 
3.0%
58 706
 
2.7%
Other values (43) 8395
32.0%
ValueCountFrequency (%)
0 2
 
< 0.1%
20 3
 
< 0.1%
21 10
< 0.1%
22 1
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
26 1
 
< 0.1%
28 1
 
< 0.1%
29 8
< 0.1%
30 13
< 0.1%
ValueCountFrequency (%)
73 12
 
< 0.1%
72 12
 
< 0.1%
71 26
 
0.1%
70 1086
4.1%
69 1400
5.3%
68 679
2.6%
67 598
2.3%
66 675
2.6%
65 781
3.0%
64 797
3.0%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct29
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean31.631756
Minimum0
Maximum45
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:26.765835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q129
median32
Q334
95-th percentile37
Maximum45
Range45
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.6219732
Coefficient of variation (CV)0.11450434
Kurtosis0.25764214
Mean31.631756
Median Absolute Deviation (MAD)3
Skewness-0.084962309
Sum809425
Variance13.11869
MonotonicityNot monotonic
2025-05-05T17:41:26.827810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
34 3536
13.5%
30 2755
10.5%
35 2654
10.1%
28 2199
8.4%
29 2186
8.3%
32 2051
7.8%
33 1947
7.4%
31 1874
7.2%
27 1592
6.1%
36 1280
 
4.9%
Other values (19) 3515
13.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
18 10
 
< 0.1%
19 29
 
0.1%
20 8
 
< 0.1%
21 33
 
0.1%
22 8
 
< 0.1%
23 18
 
0.1%
24 485
1.9%
25 517
2.0%
26 591
2.3%
ValueCountFrequency (%)
45 8
 
< 0.1%
44 15
 
0.1%
43 9
 
< 0.1%
42 47
 
0.2%
41 68
 
0.3%
40 226
 
0.9%
39 315
 
1.2%
38 393
 
1.5%
37 733
2.8%
36 1280
4.9%

Avg. direction [°]
Real number (ℝ)

High correlation  Missing 

Distinct3358
Distinct (%)13.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean179.85976
Minimum0
Maximum359.6
Zeros189
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:26.898570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.6
Q195.2
median146.1
Q3298.2
95-th percentile338.7
Maximum359.6
Range359.6
Interquartile range (IQR)203

Descriptive statistics

Standard deviation105.51471
Coefficient of variation (CV)0.58664992
Kurtosis-1.3859282
Mean179.85976
Median Absolute Deviation (MAD)76.8
Skewness0.26081963
Sum4602431.3
Variance11133.354
MonotonicityNot monotonic
2025-05-05T17:41:26.979640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 189
 
0.7%
234.2 109
 
0.4%
78 99
 
0.4%
100.3 97
 
0.4%
358.6 91
 
0.3%
328.2 85
 
0.3%
356.8 78
 
0.3%
311.1 76
 
0.3%
53.2 73
 
0.3%
97.6 73
 
0.3%
Other values (3348) 24619
93.9%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 189
0.7%
0.4 2
 
< 0.1%
0.7 46
 
0.2%
1.1 4
 
< 0.1%
1.4 2
 
< 0.1%
1.8 2
 
< 0.1%
2.1 4
 
< 0.1%
2.2 1
 
< 0.1%
2.3 1
 
< 0.1%
2.5 4
 
< 0.1%
ValueCountFrequency (%)
359.6 7
 
< 0.1%
359.2 32
 
0.1%
359.1 1
 
< 0.1%
359 4
 
< 0.1%
358.6 91
0.3%
358.1 1
 
< 0.1%
357.6 11
 
< 0.1%
357.5 1
 
< 0.1%
357.4 1
 
< 0.1%
357.2 1
 
< 0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct161
Distinct (%)0.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean11.264829
Minimum0
Maximum18.1
Zeros1312
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:27.059050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.1
median12
Q315.7
95-th percentile16.6
Maximum18.1
Range18.1
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation5.1474346
Coefficient of variation (CV)0.45694744
Kurtosis-0.115688
Mean11.264829
Median Absolute Deviation (MAD)3.4
Skewness-1.0133461
Sum288255.7
Variance26.496083
MonotonicityNot monotonic
2025-05-05T17:41:27.137155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1 2593
 
9.9%
10.2 1660
 
6.3%
15.8 1624
 
6.2%
15.9 1402
 
5.3%
15.7 1375
 
5.2%
0 1312
 
5.0%
16 659
 
2.5%
10.3 579
 
2.2%
15.6 491
 
1.9%
11.1 333
 
1.3%
Other values (151) 13561
51.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 1312
5.0%
0.1 193
 
0.7%
0.2 101
 
0.4%
0.3 76
 
0.3%
0.4 64
 
0.2%
0.5 62
 
0.2%
0.6 44
 
0.2%
0.7 30
 
0.1%
0.8 40
 
0.2%
0.9 38
 
0.1%
ValueCountFrequency (%)
18.1 1
 
< 0.1%
18 1
 
< 0.1%
17.9 4
 
< 0.1%
17.8 6
 
< 0.1%
17.7 14
 
0.1%
17.6 13
 
< 0.1%
17.5 38
 
0.1%
17.4 44
0.2%
17.3 56
0.2%
17.2 95
0.4%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Missing  Skewed  Zeros 

Distinct141
Distinct (%)0.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean9.6206339
Minimum0
Maximum6553.5
Zeros2200
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:27.215605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.2
median9.9
Q312.2
95-th percentile15.4
Maximum6553.5
Range6553.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation58.060997
Coefficient of variation (CV)6.035049
Kurtosis12612.331
Mean9.6206339
Median Absolute Deviation (MAD)2.2
Skewness111.91224
Sum246182.4
Variance3371.0794
MonotonicityNot monotonic
2025-05-05T17:41:27.291967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 4186
 
16.0%
0 2200
 
8.4%
10 2100
 
8.0%
9.8 1839
 
7.0%
15.4 777
 
3.0%
11.9 752
 
2.9%
15.3 499
 
1.9%
15.5 489
 
1.9%
12 454
 
1.7%
9.6 379
 
1.4%
Other values (131) 11914
45.5%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2200
8.4%
0.1 130
 
0.5%
0.2 63
 
0.2%
0.3 55
 
0.2%
0.4 69
 
0.3%
0.5 79
 
0.3%
0.6 96
 
0.4%
0.7 118
 
0.5%
0.8 112
 
0.4%
0.9 106
 
0.4%
ValueCountFrequency (%)
6553.5 2
 
< 0.1%
15.6 66
 
0.3%
15.5 489
1.9%
15.4 777
3.0%
15.3 499
1.9%
15.2 354
1.4%
15.1 313
1.2%
15 286
 
1.1%
14.9 278
 
1.1%
14.8 286
 
1.1%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct158
Distinct (%)0.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean10.139451
Minimum0
Maximum15.7
Zeros1698
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:27.368271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10.3
Q314.6
95-th percentile15.6
Maximum15.7
Range15.7
Interquartile range (IQR)4.6

Descriptive statistics

Standard deviation4.9504228
Coefficient of variation (CV)0.48823383
Kurtosis-0.39398249
Mean10.139451
Median Absolute Deviation (MAD)3.4
Skewness-0.83935299
Sum259458.4
Variance24.506686
MonotonicityNot monotonic
2025-05-05T17:41:27.447400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 5430
20.7%
15.6 4210
 
16.1%
0 1698
 
6.5%
10.1 677
 
2.6%
15.5 514
 
2.0%
10.2 465
 
1.8%
10.3 346
 
1.3%
15.4 317
 
1.2%
10.4 282
 
1.1%
15.3 246
 
0.9%
Other values (148) 11404
43.5%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 1698
6.5%
0.1 118
 
0.5%
0.2 98
 
0.4%
0.3 76
 
0.3%
0.4 43
 
0.2%
0.5 32
 
0.1%
0.6 43
 
0.2%
0.7 45
 
0.2%
0.8 62
 
0.2%
0.9 56
 
0.2%
ValueCountFrequency (%)
15.7 9
 
< 0.1%
15.6 4210
16.1%
15.5 514
 
2.0%
15.4 317
 
1.2%
15.3 246
 
0.9%
15.2 208
 
0.8%
15.1 187
 
0.7%
15 176
 
0.7%
14.9 155
 
0.6%
14.8 149
 
0.6%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct73
Distinct (%)0.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.49898785
Minimum0
Maximum7.4
Zeros8227
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:27.525683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.7
95-th percentile2
Maximum7.4
Range7.4
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.80775135
Coefficient of variation (CV)1.6187796
Kurtosis14.715327
Mean0.49898785
Median Absolute Deviation (MAD)0.2
Skewness3.3125977
Sum12768.6
Variance0.65246224
MonotonicityNot monotonic
2025-05-05T17:41:27.603241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8227
31.4%
0.1 3293
12.6%
0.2 2244
 
8.6%
0.3 1730
 
6.6%
0.4 1347
 
5.1%
0.5 1090
 
4.2%
0.6 1016
 
3.9%
0.7 966
 
3.7%
0.8 878
 
3.4%
0.9 807
 
3.1%
Other values (63) 3991
15.2%
ValueCountFrequency (%)
0 8227
31.4%
0.1 3293
12.6%
0.2 2244
 
8.6%
0.3 1730
 
6.6%
0.4 1347
 
5.1%
0.5 1090
 
4.2%
0.6 1016
 
3.9%
0.7 966
 
3.7%
0.8 878
 
3.4%
0.9 807
 
3.1%
ValueCountFrequency (%)
7.4 4
< 0.1%
7.3 6
< 0.1%
7.2 3
< 0.1%
7.1 2
 
< 0.1%
7 3
< 0.1%
6.9 7
< 0.1%
6.8 5
< 0.1%
6.7 2
 
< 0.1%
6.6 6
< 0.1%
6.5 5
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation  Missing 

Distinct357
Distinct (%)1.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean9.4988745
Minimum0
Maximum38.6
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:27.820486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q15.1
median7.9
Q312.2
95-th percentile20.9
Maximum38.6
Range38.6
Interquartile range (IQR)7.1

Descriptive statistics

Standard deviation5.8220941
Coefficient of variation (CV)0.61292463
Kurtosis1.8314761
Mean9.4988745
Median Absolute Deviation (MAD)3.2
Skewness1.3301905
Sum243066.7
Variance33.89678
MonotonicityNot monotonic
2025-05-05T17:41:27.899819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9 297
 
1.1%
4.5 290
 
1.1%
4.8 288
 
1.1%
3.8 282
 
1.1%
4.2 281
 
1.1%
4.9 277
 
1.1%
5.1 273
 
1.0%
4.7 267
 
1.0%
4.4 265
 
1.0%
4.6 259
 
1.0%
Other values (347) 22810
87.0%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
0.9 3
 
< 0.1%
1 2
 
< 0.1%
1.1 8
 
< 0.1%
1.2 8
 
< 0.1%
1.3 15
0.1%
1.4 11
 
< 0.1%
1.5 14
0.1%
1.6 24
0.1%
1.7 31
0.1%
ValueCountFrequency (%)
38.6 1
< 0.1%
37.3 1
< 0.1%
37 1
< 0.1%
36.9 2
< 0.1%
36.8 2
< 0.1%
36.7 1
< 0.1%
36.6 2
< 0.1%
36.5 1
< 0.1%
36.2 1
< 0.1%
36 2
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct185
Distinct (%)0.7%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean4.3441401
Minimum0
Maximum6553.5
Zeros101
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:27.977443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q11.7
median3.3
Q35.2
95-th percentile9.1
Maximum6553.5
Range6553.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation57.968161
Coefficient of variation (CV)13.34399
Kurtosis12734.339
Mean4.3441401
Median Absolute Deviation (MAD)1.7
Skewness112.72372
Sum111162.2
Variance3360.3076
MonotonicityNot monotonic
2025-05-05T17:41:28.053725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.4 553
 
2.1%
1.5 522
 
2.0%
1.3 513
 
2.0%
1.6 510
 
1.9%
1.7 501
 
1.9%
1.8 486
 
1.9%
1.9 474
 
1.8%
1 462
 
1.8%
1.2 458
 
1.7%
2.1 458
 
1.7%
Other values (175) 20652
78.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 101
 
0.4%
0.3 399
1.5%
0.4 338
1.3%
0.5 304
1.2%
0.6 297
1.1%
0.7 341
1.3%
0.8 365
1.4%
0.9 384
1.5%
1 462
1.8%
1.1 439
1.7%
ValueCountFrequency (%)
6553.5 2
< 0.1%
19.4 1
< 0.1%
19 1
< 0.1%
18.9 1
< 0.1%
18.8 2
< 0.1%
18.7 2
< 0.1%
18.6 2
< 0.1%
18.5 2
< 0.1%
18.4 1
< 0.1%
18.2 1
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation  Missing 

Distinct282
Distinct (%)1.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean6.6231857
Minimum0
Maximum30.8
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:28.131111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q13.5
median5.4
Q38.5
95-th percentile15.5
Maximum30.8
Range30.8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.3765978
Coefficient of variation (CV)0.66079949
Kurtosis2.4359808
Mean6.6231857
Median Absolute Deviation (MAD)2.3
Skewness1.4577368
Sum169480.7
Variance19.154608
MonotonicityNot monotonic
2025-05-05T17:41:28.208034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9 416
 
1.6%
3.7 413
 
1.6%
3.6 392
 
1.5%
3.8 388
 
1.5%
4.2 383
 
1.5%
4 382
 
1.5%
3 382
 
1.5%
4.1 379
 
1.4%
2.9 375
 
1.4%
3.5 367
 
1.4%
Other values (272) 21712
82.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
0.4 10
 
< 0.1%
0.5 15
 
0.1%
0.6 23
 
0.1%
0.7 26
 
0.1%
0.8 40
0.2%
0.9 45
0.2%
1 68
0.3%
1.1 75
0.3%
1.2 88
0.3%
ValueCountFrequency (%)
30.8 1
 
< 0.1%
30.5 1
 
< 0.1%
29.3 2
< 0.1%
29.1 3
< 0.1%
29 1
 
< 0.1%
28.9 1
 
< 0.1%
28.8 1
 
< 0.1%
28.7 1
 
< 0.1%
28.6 1
 
< 0.1%
28.5 1
 
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation  Missing 

Distinct49
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.88680292
Minimum0
Maximum4.9
Zeros31
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:28.285512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.4
median0.7
Q31.2
95-th percentile2.1
Maximum4.9
Range4.9
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.62760955
Coefficient of variation (CV)0.70772157
Kurtosis2.5643769
Mean0.88680292
Median Absolute Deviation (MAD)0.3
Skewness1.4585617
Sum22692.4
Variance0.39389375
MonotonicityNot monotonic
2025-05-05T17:41:28.361571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.4 2537
 
9.7%
0.5 2500
 
9.5%
0.6 2417
 
9.2%
0.3 2131
 
8.1%
0.7 1952
 
7.4%
0.8 1677
 
6.4%
0.2 1642
 
6.3%
0.9 1394
 
5.3%
1 1204
 
4.6%
1.1 1000
 
3.8%
Other values (39) 7135
27.2%
ValueCountFrequency (%)
0 31
 
0.1%
0.1 448
 
1.7%
0.2 1642
6.3%
0.3 2131
8.1%
0.4 2537
9.7%
0.5 2500
9.5%
0.6 2417
9.2%
0.7 1952
7.4%
0.8 1677
6.4%
0.9 1394
5.3%
ValueCountFrequency (%)
4.9 1
 
< 0.1%
4.7 1
 
< 0.1%
4.6 2
 
< 0.1%
4.5 2
 
< 0.1%
4.4 3
< 0.1%
4.3 1
 
< 0.1%
4.2 1
 
< 0.1%
4.1 7
< 0.1%
4 7
< 0.1%
3.9 6
< 0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation  Missing 

Distinct1997
Distinct (%)7.8%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean-3.6820157
Minimum-179.6
Maximum179.6
Zeros144
Zeros (%)0.5%
Negative21607
Negative (%)82.4%
Memory size1.4 MiB
2025-05-05T17:41:28.435674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-179.6
5-th percentile-29.4
Q1-4.8
median-3
Q3-1.3
95-th percentile16.3
Maximum179.6
Range359.2
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation26.900827
Coefficient of variation (CV)-7.3060055
Kurtosis18.851117
Mean-3.6820157
Median Absolute Deviation (MAD)1.8
Skewness-0.23366808
Sum-94219.1
Variance723.6545
MonotonicityNot monotonic
2025-05-05T17:41:28.512672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.1 435
 
1.7%
-3.2 432
 
1.6%
-3 427
 
1.6%
-2.6 415
 
1.6%
-3.4 415
 
1.6%
-2.9 410
 
1.6%
-2.3 409
 
1.6%
-2.5 406
 
1.5%
-2.8 406
 
1.5%
-3.6 404
 
1.5%
Other values (1987) 21430
81.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-179.6 1
< 0.1%
-179.4 1
< 0.1%
-179.3 1
< 0.1%
-179.1 1
< 0.1%
-179 1
< 0.1%
-178.8 1
< 0.1%
-178.3 2
< 0.1%
-178.1 1
< 0.1%
-177.9 1
< 0.1%
-177.6 1
< 0.1%
ValueCountFrequency (%)
179.6 2
< 0.1%
179.4 1
< 0.1%
179.2 1
< 0.1%
178.9 1
< 0.1%
178.8 2
< 0.1%
178.7 1
< 0.1%
178.1 1
< 0.1%
177.8 1
< 0.1%
177.1 2
< 0.1%
176.8 1
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation  Missing 

Distinct3504
Distinct (%)13.7%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean180.61326
Minimum0
Maximum1000
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:28.590008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q193.7
median147.8
Q3299
95-th percentile338.4
Maximum1000
Range1000
Interquartile range (IQR)205.3

Descriptive statistics

Standard deviation106.72715
Coefficient of variation (CV)0.59091536
Kurtosis-1.0467927
Mean180.61326
Median Absolute Deviation (MAD)80.7
Skewness0.27546006
Sum4621712.7
Variance11390.684
MonotonicityNot monotonic
2025-05-05T17:41:28.667958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.7 34
 
0.1%
98 34
 
0.1%
90.3 32
 
0.1%
93.3 30
 
0.1%
98.4 29
 
0.1%
94.6 28
 
0.1%
106.4 28
 
0.1%
104.1 28
 
0.1%
95.2 28
 
0.1%
108.2 27
 
0.1%
Other values (3494) 25291
96.5%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
0.1 2
 
< 0.1%
0.2 5
< 0.1%
0.3 3
< 0.1%
0.4 4
< 0.1%
0.5 6
< 0.1%
0.6 2
 
< 0.1%
0.7 3
< 0.1%
0.8 3
< 0.1%
0.9 2
 
< 0.1%
ValueCountFrequency (%)
1000 3
 
< 0.1%
359.9 4
< 0.1%
359.8 8
< 0.1%
359.7 2
 
< 0.1%
359.6 6
< 0.1%
359.5 4
< 0.1%
359.4 1
 
< 0.1%
359.3 5
< 0.1%
359.2 2
 
< 0.1%
359.1 4
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct29
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean17.413459
Minimum0
Maximum31
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:28.732509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q114
median17
Q321
95-th percentile26
Maximum31
Range31
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.836815
Coefficient of variation (CV)0.27776302
Kurtosis-0.43227192
Mean17.413459
Median Absolute Deviation (MAD)4
Skewness0.17491831
Sum445593
Variance23.394779
MonotonicityNot monotonic
2025-05-05T17:41:28.798234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
14 2233
 
8.5%
15 2098
 
8.0%
21 2081
 
7.9%
13 1915
 
7.3%
19 1676
 
6.4%
22 1657
 
6.3%
16 1648
 
6.3%
20 1604
 
6.1%
18 1498
 
5.7%
12 1471
 
5.6%
Other values (19) 7708
29.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
4 1
 
< 0.1%
5 30
 
0.1%
6 72
 
0.3%
7 172
 
0.7%
8 298
 
1.1%
9 556
 
2.1%
10 541
 
2.1%
11 788
3.0%
12 1471
5.6%
ValueCountFrequency (%)
31 30
 
0.1%
30 111
 
0.4%
29 232
 
0.9%
28 257
 
1.0%
27 367
 
1.4%
26 294
 
1.1%
25 508
 
1.9%
24 697
2.7%
23 1283
4.9%
22 1657
6.3%

Ambient WindSpeed Estimated Avg. [m/s]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:28.862097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:28.895154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct33
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean37.113056
Minimum0
Maximum59
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:28.936583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q133
median36
Q340
95-th percentile50
Maximum59
Range59
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8860258
Coefficient of variation (CV)0.15859717
Kurtosis0.53020234
Mean37.113056
Median Absolute Deviation (MAD)4
Skewness0.9381027
Sum949686
Variance34.6453
MonotonicityNot monotonic
2025-05-05T17:41:28.999606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
32 2221
 
8.5%
35 2101
 
8.0%
34 2026
 
7.7%
31 2001
 
7.6%
33 1902
 
7.3%
36 1622
 
6.2%
40 1495
 
5.7%
39 1467
 
5.6%
37 1350
 
5.2%
38 1301
 
5.0%
Other values (23) 8103
30.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
28 1
 
< 0.1%
29 801
 
3.1%
30 1296
4.9%
31 2001
7.6%
32 2221
8.5%
33 1902
7.3%
34 2026
7.7%
35 2101
8.0%
36 1622
6.2%
ValueCountFrequency (%)
59 4
 
< 0.1%
58 7
 
< 0.1%
57 8
 
< 0.1%
56 7
 
< 0.1%
55 56
 
0.2%
54 133
 
0.5%
53 211
0.8%
52 376
1.4%
51 369
1.4%
50 287
1.1%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct24
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean34.038337
Minimum0
Maximum51
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:29.062263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q131
median33
Q337
95-th percentile42
Maximum51
Range51
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.9815768
Coefficient of variation (CV)0.11697331
Kurtosis0.62258742
Mean34.038337
Median Absolute Deviation (MAD)3
Skewness0.87072554
Sum871007
Variance15.852954
MonotonicityNot monotonic
2025-05-05T17:41:29.120949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
31 4562
17.4%
32 3535
13.5%
30 3431
13.1%
37 2310
8.8%
36 2139
8.2%
35 1566
 
6.0%
33 1318
 
5.0%
38 1274
 
4.9%
29 1220
 
4.7%
34 996
 
3.8%
Other values (14) 3238
12.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
29 1220
 
4.7%
30 3431
13.1%
31 4562
17.4%
32 3535
13.5%
33 1318
 
5.0%
34 996
 
3.8%
35 1566
 
6.0%
36 2139
8.2%
37 2310
8.8%
ValueCountFrequency (%)
51 1
 
< 0.1%
50 12
 
< 0.1%
49 8
 
< 0.1%
48 13
 
< 0.1%
47 30
 
0.1%
46 106
 
0.4%
45 158
 
0.6%
44 372
1.4%
43 512
2.0%
42 511
1.9%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct33
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean36.594591
Minimum0
Maximum59
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:29.317765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q132
median34
Q340
95-th percentile50
Maximum59
Range59
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.1764487
Coefficient of variation (CV)0.16878037
Kurtosis0.28747157
Mean36.594591
Median Absolute Deviation (MAD)3
Skewness0.9949466
Sum936419
Variance38.148519
MonotonicityNot monotonic
2025-05-05T17:41:29.384119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
32 3418
13.0%
31 3069
 
11.7%
33 2655
 
10.1%
34 1593
 
6.1%
30 1539
 
5.9%
35 1162
 
4.4%
39 1077
 
4.1%
38 1063
 
4.1%
40 1024
 
3.9%
41 1009
 
3.8%
Other values (23) 7980
30.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
28 1
 
< 0.1%
29 775
 
3.0%
30 1539
5.9%
31 3069
11.7%
32 3418
13.0%
33 2655
10.1%
34 1593
6.1%
35 1162
 
4.4%
36 1000
 
3.8%
ValueCountFrequency (%)
59 6
 
< 0.1%
58 7
 
< 0.1%
57 8
 
< 0.1%
56 7
 
< 0.1%
55 43
 
0.2%
54 133
 
0.5%
53 174
0.7%
52 388
1.5%
51 383
1.5%
50 307
1.2%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct31
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean36.656376
Minimum0
Maximum57
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:29.447635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q132
median35
Q340
95-th percentile48
Maximum57
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.3766873
Coefficient of variation (CV)0.14667809
Kurtosis0.37350003
Mean36.656376
Median Absolute Deviation (MAD)3
Skewness0.95809291
Sum938000
Variance28.908766
MonotonicityNot monotonic
2025-05-05T17:41:29.511965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
32 3706
14.1%
33 3649
13.9%
34 2319
 
8.8%
31 1834
 
7.0%
35 1466
 
5.6%
39 1346
 
5.1%
38 1292
 
4.9%
40 1285
 
4.9%
41 1147
 
4.4%
36 997
 
3.8%
Other values (21) 6548
25.0%
ValueCountFrequency (%)
0 2
 
< 0.1%
28 1
 
< 0.1%
29 161
 
0.6%
30 801
 
3.1%
31 1834
7.0%
32 3706
14.1%
33 3649
13.9%
34 2319
8.8%
35 1466
 
5.6%
36 997
 
3.8%
ValueCountFrequency (%)
57 3
 
< 0.1%
56 10
 
< 0.1%
55 9
 
< 0.1%
54 7
 
< 0.1%
53 40
 
0.2%
52 144
 
0.5%
51 189
0.7%
50 400
1.5%
49 396
1.5%
48 357
1.4%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation  Missing 

Distinct11806
Distinct (%)46.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean681.42282
Minimum-31.3
Maximum3000.7
Zeros8
Zeros (%)< 0.1%
Negative5248
Negative (%)20.0%
Memory size1.4 MiB
2025-05-05T17:41:29.584491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-31.3
5-th percentile-14.2
Q133.4
median265.4
Q3983.6
95-th percentile2830.36
Maximum3000.7
Range3032
Interquartile range (IQR)950.2

Descriptive statistics

Standard deviation890.58426
Coefficient of variation (CV)1.3069481
Kurtosis0.6648769
Mean681.42282
Median Absolute Deviation (MAD)278.6
Skewness1.3847533
Sum17436928
Variance793140.33
MonotonicityNot monotonic
2025-05-05T17:41:29.662650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13.2 275
 
1.0%
-13.3 272
 
1.0%
-13.6 260
 
1.0%
-13.4 258
 
1.0%
-13.5 256
 
1.0%
-13.7 251
 
1.0%
-13.1 244
 
0.9%
-13 211
 
0.8%
-13.8 209
 
0.8%
-14 205
 
0.8%
Other values (11796) 23148
88.3%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-31.3 1
< 0.1%
-26 1
< 0.1%
-25.7 1
< 0.1%
-25.2 1
< 0.1%
-24.4 1
< 0.1%
-24 1
< 0.1%
-21.7 1
< 0.1%
-20.3 1
< 0.1%
-20.2 1
< 0.1%
-19.8 1
< 0.1%
ValueCountFrequency (%)
3000.7 1
 
< 0.1%
3000.6 11
 
< 0.1%
3000.5 40
0.2%
3000.4 79
0.3%
3000.3 43
0.2%
3000.2 23
 
0.1%
3000.1 16
 
0.1%
3000 9
 
< 0.1%
2999.9 19
 
0.1%
2999.8 20
 
0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation  Missing 

Distinct11
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.8991598
Minimum0
Maximum1
Zeros93
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:29.726046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q10.8
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.18881412
Coefficient of variation (CV)0.2099895
Kurtosis4.7698422
Mean0.8991598
Median Absolute Deviation (MAD)0
Skewness-2.128097
Sum23008.6
Variance0.035650771
MonotonicityNot monotonic
2025-05-05T17:41:29.780502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 18392
70.2%
0.7 3819
 
14.6%
0.6 1141
 
4.4%
0.9 679
 
2.6%
0.8 392
 
1.5%
0.5 245
 
0.9%
0.4 221
 
0.8%
0.3 215
 
0.8%
0.1 198
 
0.8%
0.2 194
 
0.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 93
 
0.4%
0.1 198
 
0.8%
0.2 194
 
0.7%
0.3 215
 
0.8%
0.4 221
 
0.8%
0.5 245
 
0.9%
0.6 1141
 
4.4%
0.7 3819
14.6%
0.8 392
 
1.5%
0.9 679
 
2.6%
ValueCountFrequency (%)
1 18392
70.2%
0.9 679
 
2.6%
0.8 392
 
1.5%
0.7 3819
 
14.6%
0.6 1141
 
4.4%
0.5 245
 
0.9%
0.4 221
 
0.8%
0.3 215
 
0.8%
0.2 194
 
0.7%
0.1 198
 
0.8%

Grid Production Frequency Avg. [Hz]
Categorical

High correlation  Imbalance  Missing 

Distinct4
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
50.0
25475 
49.9
 
105
50.1
 
7
0.0
 
2

Length

Max length4
Median length4
Mean length3.9999218
Min length3

Characters and Unicode

Total characters102354
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50.0
2nd row50.0
3rd row50.0
4th row50.0
5th row50.0

Common Values

ValueCountFrequency (%)
50.0 25475
97.2%
49.9 105
 
0.4%
50.1 7
 
< 0.1%
0.0 2
 
< 0.1%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:29.842990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:29.883959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
50.0 25475
99.6%
49.9 105
 
0.4%
50.1 7
 
< 0.1%
0.0 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 50961
49.8%
. 25589
25.0%
5 25482
24.9%
9 210
 
0.2%
4 105
 
0.1%
1 7
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 102354
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 50961
49.8%
. 25589
25.0%
5 25482
24.9%
9 210
 
0.2%
4 105
 
0.1%
1 7
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 102354
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 50961
49.8%
. 25589
25.0%
5 25482
24.9%
9 210
 
0.2%
4 105
 
0.1%
1 7
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 102354
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 50961
49.8%
. 25589
25.0%
5 25482
24.9%
9 210
 
0.2%
4 105
 
0.1%
1 7
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation  Missing 

Distinct408
Distinct (%)1.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean580.01285
Minimum0
Maximum608
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:29.942431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile568
Q1573.7
median579.1
Q3585.9
95-th percentile594.7
Maximum608
Range608
Interquartile range (IQR)12.2

Descriptive statistics

Standard deviation9.7114522
Coefficient of variation (CV)0.016743512
Kurtosis992.9703
Mean580.01285
Median Absolute Deviation (MAD)5.9
Skewness-16.415774
Sum14841949
Variance94.312304
MonotonicityNot monotonic
2025-05-05T17:41:30.019971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
577 150
 
0.6%
579 144
 
0.5%
579.8 141
 
0.5%
576.2 141
 
0.5%
577.2 141
 
0.5%
576.1 141
 
0.5%
578 137
 
0.5%
577.5 135
 
0.5%
580.4 135
 
0.5%
580 134
 
0.5%
Other values (398) 24190
92.3%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
563.7 2
 
< 0.1%
563.8 1
 
< 0.1%
563.9 3
< 0.1%
564 2
 
< 0.1%
564.1 3
< 0.1%
564.2 1
 
< 0.1%
564.3 3
< 0.1%
564.4 7
< 0.1%
564.5 4
< 0.1%
ValueCountFrequency (%)
608 1
< 0.1%
605.5 1
< 0.1%
605.2 1
< 0.1%
604.6 1
< 0.1%
604.3 2
< 0.1%
604.2 2
< 0.1%
604 1
< 0.1%
603.9 1
< 0.1%
603.8 1
< 0.1%
603.6 1
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation  Missing 

Distinct414
Distinct (%)1.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean578.37532
Minimum0
Maximum607.2
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:30.098902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile566.9
Q1572.3
median577.7
Q3583.8
95-th percentile592.6
Maximum607.2
Range607.2
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation9.386238
Coefficient of variation (CV)0.016228628
Kurtosis1125.3504
Mean578.37532
Median Absolute Deviation (MAD)5.6
Skewness-18.048304
Sum14800046
Variance88.101464
MonotonicityNot monotonic
2025-05-05T17:41:30.178504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
578.9 153
 
0.6%
577.9 146
 
0.6%
580 145
 
0.6%
578 143
 
0.5%
577.7 141
 
0.5%
577.8 138
 
0.5%
573 137
 
0.5%
576.8 137
 
0.5%
575.6 136
 
0.5%
576.6 135
 
0.5%
Other values (404) 24178
92.3%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
< 0.1%
560.6 1
 
< 0.1%
561 1
 
< 0.1%
561.1 1
 
< 0.1%
561.4 1
 
< 0.1%
561.6 1
 
< 0.1%
561.9 3
< 0.1%
562.1 4
< 0.1%
562.2 1
 
< 0.1%
562.3 3
< 0.1%
ValueCountFrequency (%)
607.2 1
< 0.1%
604.1 1
< 0.1%
603.7 1
< 0.1%
603.3 2
< 0.1%
603.2 1
< 0.1%
602.9 1
< 0.1%
602.6 2
< 0.1%
602.3 2
< 0.1%
602.1 1
< 0.1%
602 1
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation  Missing 

Distinct437
Distinct (%)1.7%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean576.81973
Minimum0
Maximum604
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:30.257733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile564.8
Q1570.6
median576.1
Q3582.4
95-th percentile591.6
Maximum604
Range604
Interquartile range (IQR)11.8

Descriptive statistics

Standard deviation9.6565518
Coefficient of variation (CV)0.016741022
Kurtosis993.63803
Mean576.81973
Median Absolute Deviation (MAD)5.8
Skewness-16.42151
Sum14760240
Variance93.248993
MonotonicityNot monotonic
2025-05-05T17:41:30.336291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
575.2 152
 
0.6%
578 149
 
0.6%
577.3 143
 
0.5%
573.9 137
 
0.5%
577 137
 
0.5%
574.3 135
 
0.5%
572.8 134
 
0.5%
574.9 133
 
0.5%
576.4 132
 
0.5%
574.7 132
 
0.5%
Other values (427) 24205
92.4%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
< 0.1%
556.7 2
< 0.1%
557.3 1
< 0.1%
557.5 1
< 0.1%
557.6 1
< 0.1%
558.1 1
< 0.1%
558.3 1
< 0.1%
558.4 1
< 0.1%
558.6 1
< 0.1%
558.8 1
< 0.1%
ValueCountFrequency (%)
604 1
< 0.1%
603.1 1
< 0.1%
602.6 1
< 0.1%
602.3 1
< 0.1%
602.2 2
< 0.1%
602 2
< 0.1%
601.9 1
< 0.1%
601.8 2
< 0.1%
601.7 2
< 0.1%
601.6 2
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation  Missing 

Distinct9162
Distinct (%)35.8%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean389.03277
Minimum0
Maximum1748
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:30.415837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.6
Q122.6
median147.3
Q3547
95-th percentile1616.56
Maximum1748
Range1748
Interquartile range (IQR)524.4

Descriptive statistics

Standard deviation504.94076
Coefficient of variation (CV)1.2979389
Kurtosis0.78193227
Mean389.03277
Median Absolute Deviation (MAD)134.9
Skewness1.428655
Sum9954959.6
Variance254965.17
MonotonicityNot monotonic
2025-05-05T17:41:30.494965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.6 586
 
2.2%
11.7 507
 
1.9%
12.7 270
 
1.0%
12.6 263
 
1.0%
11.8 233
 
0.9%
12.5 194
 
0.7%
11.5 191
 
0.7%
11.9 184
 
0.7%
12 166
 
0.6%
12.4 165
 
0.6%
Other values (9152) 22830
87.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 29
0.1%
1.2 2
 
< 0.1%
1.3 3
 
< 0.1%
1.4 4
 
< 0.1%
1.5 2
 
< 0.1%
1.6 2
 
< 0.1%
1.7 1
 
< 0.1%
1.8 5
 
< 0.1%
1.9 7
 
< 0.1%
ValueCountFrequency (%)
1748 1
< 0.1%
1747.4 1
< 0.1%
1747 1
< 0.1%
1746.2 1
< 0.1%
1745.6 1
< 0.1%
1744.9 1
< 0.1%
1744.5 2
< 0.1%
1744.2 2
< 0.1%
1743.9 1
< 0.1%
1743.8 1
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation  Missing 

Distinct9333
Distinct (%)36.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean400.12047
Minimum0
Maximum1793.4
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:30.570979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.5
Q123.6
median152
Q3572.7
95-th percentile1645.56
Maximum1793.4
Range1793.4
Interquartile range (IQR)549.1

Descriptive statistics

Standard deviation515.64605
Coefficient of variation (CV)1.288727
Kurtosis0.71910849
Mean400.12047
Median Absolute Deviation (MAD)139.8
Skewness1.4073019
Sum10238683
Variance265890.85
MonotonicityNot monotonic
2025-05-05T17:41:30.649083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.6 1163
 
4.4%
11.5 499
 
1.9%
11.7 320
 
1.2%
12.6 283
 
1.1%
10.7 210
 
0.8%
12.5 201
 
0.8%
12.7 187
 
0.7%
10.6 140
 
0.5%
11.8 124
 
0.5%
12.4 108
 
0.4%
Other values (9323) 22354
85.3%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 11
 
< 0.1%
1.3 1
 
< 0.1%
1.6 1
 
< 0.1%
1.8 8
 
< 0.1%
1.9 7
 
< 0.1%
2 76
0.3%
2.2 1
 
< 0.1%
2.3 1
 
< 0.1%
2.4 1
 
< 0.1%
ValueCountFrequency (%)
1793.4 1
< 0.1%
1790.1 1
< 0.1%
1789.6 1
< 0.1%
1789 1
< 0.1%
1783.3 1
< 0.1%
1783.2 1
< 0.1%
1783.1 1
< 0.1%
1783 1
< 0.1%
1782.3 1
< 0.1%
1782 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation  Missing 

Distinct9456
Distinct (%)37.0%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean403.81267
Minimum0
Maximum1792.9
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:30.725517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.5
Q128.2
median158.1
Q3575.6
95-th percentile1649.28
Maximum1792.9
Range1792.9
Interquartile range (IQR)547.4

Descriptive statistics

Standard deviation515.91496
Coefficient of variation (CV)1.2776097
Kurtosis0.71848315
Mean403.81267
Median Absolute Deviation (MAD)146.8
Skewness1.4050686
Sum10333162
Variance266168.25
MonotonicityNot monotonic
2025-05-05T17:41:30.944464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.6 1002
 
3.8%
10.5 675
 
2.6%
11.6 320
 
1.2%
10.7 310
 
1.2%
11.5 185
 
0.7%
10.4 185
 
0.7%
11.7 153
 
0.6%
11.4 136
 
0.5%
9.7 131
 
0.5%
10.8 119
 
0.5%
Other values (9446) 22373
85.4%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 27
0.1%
1.2 1
 
< 0.1%
1.3 4
 
< 0.1%
1.5 2
 
< 0.1%
1.6 1
 
< 0.1%
1.7 1
 
< 0.1%
1.9 6
 
< 0.1%
2 57
0.2%
2.1 1
 
< 0.1%
ValueCountFrequency (%)
1792.9 1
< 0.1%
1790.6 1
< 0.1%
1788.7 1
< 0.1%
1787.1 1
< 0.1%
1786 1
< 0.1%
1785.8 1
< 0.1%
1785.3 1
< 0.1%
1785.1 1
< 0.1%
1784.9 1
< 0.1%
1784.5 1
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation  Missing 

Distinct12396
Distinct (%)48.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean945.13098
Minimum-3276.8
Maximum3175.2
Zeros6
Zeros (%)< 0.1%
Negative4696
Negative (%)17.9%
Memory size1.4 MiB
2025-05-05T17:41:31.021798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-11.9
Q1142.5
median480.7
Q31493.2
95-th percentile3151.3
Maximum3175.2
Range6452
Interquartile range (IQR)1350.7

Descriptive statistics

Standard deviation1054.9206
Coefficient of variation (CV)1.1161634
Kurtosis-0.32941183
Mean945.13098
Median Absolute Deviation (MAD)491.4
Skewness1.0242496
Sum24184957
Variance1112857.4
MonotonicityNot monotonic
2025-05-05T17:41:31.098244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.4 303
 
1.2%
-11.3 286
 
1.1%
-11.2 269
 
1.0%
-11.7 250
 
1.0%
-11.6 241
 
0.9%
-11.5 232
 
0.9%
-10.8 206
 
0.8%
-10.7 202
 
0.8%
-11.1 201
 
0.8%
-11.8 183
 
0.7%
Other values (12386) 23216
88.6%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-3276.8 2
< 0.1%
-24.4 1
< 0.1%
-23.2 1
< 0.1%
-22.3 1
< 0.1%
-22 1
< 0.1%
-17.7 1
< 0.1%
-17.4 1
< 0.1%
-17.3 1
< 0.1%
-17 1
< 0.1%
-16.2 1
< 0.1%
ValueCountFrequency (%)
3175.2 1
< 0.1%
3174.6 1
< 0.1%
3171.8 1
< 0.1%
3171.3 1
< 0.1%
3170.9 1
< 0.1%
3170.8 1
< 0.1%
3170.4 1
< 0.1%
3170.3 1
< 0.1%
3170 1
< 0.1%
3169.6 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation  Missing 

Distinct10055
Distinct (%)39.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean400.4978
Minimum-102.3
Maximum3276.7
Zeros7
Zeros (%)< 0.1%
Negative9086
Negative (%)34.7%
Memory size1.4 MiB
2025-05-05T17:41:31.176143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-102.3
5-th percentile-46
Q1-31.4
median85
Q3459.8
95-th percentile2026.52
Maximum3276.7
Range3379
Interquartile range (IQR)491.2

Descriptive statistics

Standard deviation682.798
Coefficient of variation (CV)1.7048733
Kurtosis2.729421
Mean400.4978
Median Absolute Deviation (MAD)118
Skewness1.8879195
Sum10248338
Variance466213.11
MonotonicityNot monotonic
2025-05-05T17:41:31.252221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-32.4 270
 
1.0%
-32.3 268
 
1.0%
-32.2 241
 
0.9%
-32.5 225
 
0.9%
-32.1 222
 
0.8%
-100.1 218
 
0.8%
-31.3 214
 
0.8%
-31.8 213
 
0.8%
-32 212
 
0.8%
-31.5 207
 
0.8%
Other values (10045) 23299
88.9%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-102.3 3
< 0.1%
-102.2 2
< 0.1%
-102.1 1
 
< 0.1%
-102 4
< 0.1%
-101.9 2
< 0.1%
-101.8 4
< 0.1%
-101.7 3
< 0.1%
-101.5 2
< 0.1%
-101.4 3
< 0.1%
-101.3 4
< 0.1%
ValueCountFrequency (%)
3276.7 2
< 0.1%
2993.5 1
< 0.1%
2993.1 1
< 0.1%
2992.9 1
< 0.1%
2992.8 1
< 0.1%
2992.6 1
< 0.1%
2992.2 1
< 0.1%
2992.1 1
< 0.1%
2992 1
< 0.1%
2991.7 2
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct32
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean30.908046
Minimum0
Maximum48
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:31.321414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q127
median30
Q334
95-th percentile39
Maximum48
Range48
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.6513282
Coefficient of variation (CV)0.15048923
Kurtosis-0.2220653
Mean30.908046
Median Absolute Deviation (MAD)3
Skewness0.40658143
Sum790906
Variance21.634854
MonotonicityNot monotonic
2025-05-05T17:41:31.387558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
28 2527
 
9.6%
27 2370
 
9.0%
29 1959
 
7.5%
30 1876
 
7.2%
32 1830
 
7.0%
34 1801
 
6.9%
33 1712
 
6.5%
31 1584
 
6.0%
26 1543
 
5.9%
25 1471
 
5.6%
Other values (22) 6916
26.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
18 8
 
< 0.1%
19 34
 
0.1%
20 10
 
< 0.1%
21 42
 
0.2%
22 137
 
0.5%
23 406
 
1.5%
24 747
2.9%
25 1471
5.6%
26 1543
5.9%
ValueCountFrequency (%)
48 4
 
< 0.1%
47 11
 
< 0.1%
46 11
 
< 0.1%
45 13
 
< 0.1%
44 12
 
< 0.1%
43 115
 
0.4%
42 195
 
0.7%
41 446
1.7%
40 469
1.8%
39 507
1.9%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation  Missing 

Distinct4343
Distinct (%)17.0%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean112.11303
Minimum0
Maximum1504.8
Zeros58
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:31.459000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q119.1
median65.1
Q3170.8
95-th percentile352.36
Maximum1504.8
Range1504.8
Interquartile range (IQR)151.7

Descriptive statistics

Standard deviation131.41299
Coefficient of variation (CV)1.1721474
Kurtosis16.202235
Mean112.11303
Median Absolute Deviation (MAD)60.9
Skewness2.7965654
Sum2868860.3
Variance17269.374
MonotonicityNot monotonic
2025-05-05T17:41:31.535210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 1121
 
4.3%
3.9 991
 
3.8%
4.1 793
 
3.0%
3.8 517
 
2.0%
4.2 412
 
1.6%
4.3 184
 
0.7%
3.7 180
 
0.7%
4.4 101
 
0.4%
4.5 62
 
0.2%
3.6 59
 
0.2%
Other values (4333) 21169
80.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 58
0.2%
0.1 14
 
0.1%
0.2 10
 
< 0.1%
0.3 25
0.1%
0.4 10
 
< 0.1%
0.5 12
 
< 0.1%
0.6 10
 
< 0.1%
0.7 4
 
< 0.1%
0.8 1
 
< 0.1%
1 1
 
< 0.1%
ValueCountFrequency (%)
1504.8 1
< 0.1%
1498.9 1
< 0.1%
1477.2 1
< 0.1%
1474.9 1
< 0.1%
1471.8 1
< 0.1%
1466 1
< 0.1%
1460.2 1
< 0.1%
1448 1
< 0.1%
1436.3 1
< 0.1%
1435.3 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct320
Distinct (%)1.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean-2.4766267
Minimum-25.4
Maximum13
Zeros17780
Zeros (%)67.8%
Negative5467
Negative (%)20.9%
Memory size1.4 MiB
2025-05-05T17:41:31.612745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-25.4
5-th percentile-14.6
Q10
median0
Q30
95-th percentile1.3
Maximum13
Range38.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.6338435
Coefficient of variation (CV)-2.2748053
Kurtosis0.79596525
Mean-2.4766267
Median Absolute Deviation (MAD)0
Skewness-1.5179956
Sum-63374.4
Variance31.740193
MonotonicityNot monotonic
2025-05-05T17:41:31.693298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17780
67.8%
0.6 225
 
0.9%
0.5 222
 
0.8%
-13.3 198
 
0.8%
-13.5 196
 
0.7%
-13.7 189
 
0.7%
-13.2 177
 
0.7%
-13.4 173
 
0.7%
-13.6 172
 
0.7%
-14 168
 
0.6%
Other values (310) 6089
 
23.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-25.4 2
< 0.1%
-23 1
< 0.1%
-22.6 1
< 0.1%
-21.9 1
< 0.1%
-21.7 1
< 0.1%
-21.6 1
< 0.1%
-21.2 1
< 0.1%
-21 1
< 0.1%
-20.8 2
< 0.1%
-20.6 1
< 0.1%
ValueCountFrequency (%)
13 1
< 0.1%
12.4 1
< 0.1%
11.7 1
< 0.1%
11.6 1
< 0.1%
11.5 1
< 0.1%
11.3 1
< 0.1%
11.2 2
< 0.1%
10.7 1
< 0.1%
10.5 1
< 0.1%
10.4 2
< 0.1%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation  Missing 

Distinct287
Distinct (%)1.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.9625659
Minimum-25.1
Maximum44.6
Zeros36
Zeros (%)0.1%
Negative4351
Negative (%)16.6%
Memory size1.4 MiB
2025-05-05T17:41:31.772749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-25.1
5-th percentile-13.6
Q10.2
median0.6
Q30.9
95-th percentile30.2
Maximum44.6
Range69.7
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation11.742751
Coefficient of variation (CV)5.9833663
Kurtosis1.4782682
Mean1.9625659
Median Absolute Deviation (MAD)0.4
Skewness1.2931165
Sum50220.1
Variance137.8922
MonotonicityNot monotonic
2025-05-05T17:41:31.853678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 3512
 
13.4%
0.2 2330
 
8.9%
0.5 1930
 
7.4%
0.7 1899
 
7.2%
0.8 1487
 
5.7%
0.4 1297
 
4.9%
0.9 1100
 
4.2%
0.3 1000
 
3.8%
0.1 974
 
3.7%
1 741
 
2.8%
Other values (277) 9319
35.6%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-25.1 2
< 0.1%
-21.6 1
< 0.1%
-20.7 1
< 0.1%
-20.3 1
< 0.1%
-19.5 1
< 0.1%
-19.3 2
< 0.1%
-19.2 2
< 0.1%
-19.1 1
< 0.1%
-19 1
< 0.1%
-18.3 2
< 0.1%
ValueCountFrequency (%)
44.6 1
 
< 0.1%
34.4 1
 
< 0.1%
34.1 1
 
< 0.1%
34 2
< 0.1%
33.9 1
 
< 0.1%
33.7 2
< 0.1%
33.6 1
 
< 0.1%
33.5 3
< 0.1%
33.4 1
 
< 0.1%
33.3 3
< 0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation  Missing 

Distinct341
Distinct (%)1.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean-5.803822
Minimum-53.2
Maximum1.7
Zeros50
Zeros (%)0.2%
Negative25421
Negative (%)97.0%
Memory size1.4 MiB
2025-05-05T17:41:31.932558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-53.2
5-th percentile-22.76
Q1-16
median-0.8
Q3-0.5
95-th percentile-0.3
Maximum1.7
Range54.9
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation8.7837142
Coefficient of variation (CV)-1.5134362
Kurtosis0.0025439987
Mean-5.803822
Median Absolute Deviation (MAD)0.4
Skewness-1.2721586
Sum-148514
Variance77.153636
MonotonicityNot monotonic
2025-05-05T17:41:32.008874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3 3431
13.1%
-0.7 3276
 
12.5%
-0.6 2504
 
9.6%
-0.8 1730
 
6.6%
-0.4 1507
 
5.8%
-0.5 1424
 
5.4%
-0.9 1255
 
4.8%
-1 974
 
3.7%
-1.1 660
 
2.5%
-1.2 460
 
1.8%
Other values (331) 8368
31.9%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-53.2 1
< 0.1%
-53 1
< 0.1%
-46.1 1
< 0.1%
-43.9 1
< 0.1%
-42.7 1
< 0.1%
-41.9 1
< 0.1%
-39.7 1
< 0.1%
-39.6 1
< 0.1%
-38.6 1
< 0.1%
-38.4 1
< 0.1%
ValueCountFrequency (%)
1.7 14
 
0.1%
1.6 28
0.1%
1.5 16
 
0.1%
1.4 9
 
< 0.1%
0.6 1
 
< 0.1%
0.5 1
 
< 0.1%
0.3 24
0.1%
0.2 15
 
0.1%
0.1 10
 
< 0.1%
0 50
0.2%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct211
Distinct (%)0.8%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.4831685
Minimum0
Maximum21.4
Zeros9656
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:32.086313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.8
95-th percentile11.5
Maximum21.4
Range21.4
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation3.6069303
Coefficient of variation (CV)2.4319086
Kurtosis8.2053882
Mean1.4831685
Median Absolute Deviation (MAD)0.1
Skewness2.9818608
Sum37952.8
Variance13.009946
MonotonicityNot monotonic
2025-05-05T17:41:32.164369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9656
36.8%
0.1 5664
21.6%
0.2 2316
 
8.8%
0.8 2103
 
8.0%
0.9 1149
 
4.4%
1 288
 
1.1%
0.3 226
 
0.9%
0.7 141
 
0.5%
4 79
 
0.3%
1.1 78
 
0.3%
Other values (201) 3889
14.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 9656
36.8%
0.1 5664
21.6%
0.2 2316
 
8.8%
0.3 226
 
0.9%
0.4 18
 
0.1%
0.5 5
 
< 0.1%
0.6 2
 
< 0.1%
0.7 141
 
0.5%
0.8 2103
 
8.0%
0.9 1149
 
4.4%
ValueCountFrequency (%)
21.4 1
 
< 0.1%
21.2 1
 
< 0.1%
21.1 1
 
< 0.1%
20.9 1
 
< 0.1%
20.8 1
 
< 0.1%
20.7 2
< 0.1%
20.6 1
 
< 0.1%
20.4 2
< 0.1%
20.3 3
< 0.1%
20.2 2
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2876
Distinct (%)11.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean720.10411
Minimum0
Maximum3000
Zeros3870
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:32.241734image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149
median282
Q31065
95-th percentile2918.6
Maximum3000
Range3000
Interquartile range (IQR)1016

Descriptive statistics

Standard deviation917.17754
Coefficient of variation (CV)1.2736735
Kurtosis0.46975288
Mean720.10411
Median Absolute Deviation (MAD)282
Skewness1.3348384
Sum18426744
Variance841214.64
MonotonicityNot monotonic
2025-05-05T17:41:32.463025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3870
 
14.8%
3000 423
 
1.6%
2999 122
 
0.5%
26 87
 
0.3%
27 82
 
0.3%
53 73
 
0.3%
1 73
 
0.3%
29 69
 
0.3%
30 67
 
0.3%
9 67
 
0.3%
Other values (2866) 20656
78.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 3870
14.8%
1 73
 
0.3%
2 59
 
0.2%
3 48
 
0.2%
4 48
 
0.2%
5 47
 
0.2%
6 51
 
0.2%
7 37
 
0.1%
8 46
 
0.2%
9 67
 
0.3%
ValueCountFrequency (%)
3000 423
1.6%
2999 122
 
0.5%
2998 45
 
0.2%
2997 41
 
0.2%
2996 37
 
0.1%
2995 24
 
0.1%
2994 18
 
0.1%
2993 22
 
0.1%
2992 23
 
0.1%
2991 23
 
0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2977
Distinct (%)11.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean984.11255
Minimum0
Maximum3150
Zeros3789
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:32.537723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1157
median507
Q31593
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1436

Descriptive statistics

Standard deviation1065.9293
Coefficient of variation (CV)1.0831376
Kurtosis-0.48111775
Mean984.11255
Median Absolute Deviation (MAD)486
Skewness0.98158698
Sum25182456
Variance1136205.3
MonotonicityNot monotonic
2025-05-05T17:41:32.614022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3789
 
14.5%
3150 2073
 
7.9%
3000 262
 
1.0%
26 60
 
0.2%
27 49
 
0.2%
231 42
 
0.2%
182 41
 
0.2%
216 39
 
0.1%
232 38
 
0.1%
229 37
 
0.1%
Other values (2967) 19159
73.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 3789
14.5%
4 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
13 1
 
< 0.1%
18 1
 
< 0.1%
20 2
 
< 0.1%
23 19
 
0.1%
24 29
 
0.1%
25 18
 
0.1%
ValueCountFrequency (%)
3150 2073
7.9%
3149 8
 
< 0.1%
3148 3
 
< 0.1%
3145 9
 
< 0.1%
3144 3
 
< 0.1%
3143 2
 
< 0.1%
3142 5
 
< 0.1%
3141 2
 
< 0.1%
3140 11
 
< 0.1%
3139 2
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2723
Distinct (%)10.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean436.10743
Minimum-100
Maximum3000
Zeros4444
Zeros (%)17.0%
Negative3772
Negative (%)14.4%
Memory size1.4 MiB
2025-05-05T17:41:32.690585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-47
Q10
median100
Q3491
95-th percentile2119
Maximum3000
Range3100
Interquartile range (IQR)491

Descriptive statistics

Standard deviation714.54746
Coefficient of variation (CV)1.6384666
Kurtosis2.7209371
Mean436.10743
Median Absolute Deviation (MAD)112
Skewness1.8871341
Sum11159553
Variance510578.08
MonotonicityNot monotonic
2025-05-05T17:41:32.765873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4444
 
17.0%
-100 709
 
2.7%
3000 246
 
0.9%
26 88
 
0.3%
27 83
 
0.3%
-28 80
 
0.3%
-14 76
 
0.3%
53 73
 
0.3%
-8 71
 
0.3%
9 70
 
0.3%
Other values (2713) 19649
75.0%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-100 709
2.7%
-99 14
 
0.1%
-98 8
 
< 0.1%
-97 3
 
< 0.1%
-96 7
 
< 0.1%
-95 6
 
< 0.1%
-94 7
 
< 0.1%
-93 4
 
< 0.1%
-92 7
 
< 0.1%
-91 10
 
< 0.1%
ValueCountFrequency (%)
3000 246
0.9%
2999 1
 
< 0.1%
2998 2
 
< 0.1%
2997 2
 
< 0.1%
2996 1
 
< 0.1%
2995 1
 
< 0.1%
2993 1
 
< 0.1%
2989 2
 
< 0.1%
2988 4
 
< 0.1%
2987 2
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct645
Distinct (%)2.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean108.9796
Minimum0
Maximum971
Zeros4180
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:32.847265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median65
Q3170
95-th percentile347
Maximum971
Range971
Interquartile range (IQR)150

Descriptive statistics

Standard deviation118.63594
Coefficient of variation (CV)1.0886068
Kurtosis2.9130444
Mean108.9796
Median Absolute Deviation (MAD)62
Skewness1.5600781
Sum2788679
Variance14074.486
MonotonicityNot monotonic
2025-05-05T17:41:32.927401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4180
 
15.9%
35 199
 
0.8%
28 185
 
0.7%
40 181
 
0.7%
33 178
 
0.7%
37 177
 
0.7%
24 175
 
0.7%
21 175
 
0.7%
23 174
 
0.7%
30 174
 
0.7%
Other values (635) 19791
75.5%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4180
15.9%
1 84
 
0.3%
2 47
 
0.2%
3 50
 
0.2%
4 30
 
0.1%
5 36
 
0.1%
6 81
 
0.3%
7 79
 
0.3%
8 115
 
0.4%
9 103
 
0.4%
ValueCountFrequency (%)
971 1
< 0.1%
948 1
< 0.1%
924 1
< 0.1%
920 1
< 0.1%
869 1
< 0.1%
837 1
< 0.1%
830 1
< 0.1%
822 1
< 0.1%
816 1
< 0.1%
789 1
< 0.1%

Grid Production PossibleInductive Avg. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:32.995028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.029701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Grid Production PossibleInductive Max. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.068689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.102177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Grid Production PossibleInductive Min. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.143101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.176088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Grid Production PossibleInductive StdDev [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.214801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.249283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Grid Production PossibleCapacitive Avg. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.288314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.321578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Grid Production PossibleCapacitive Max. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.362098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.395071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Grid Production PossibleCapacitive Min. [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.433964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.468529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Grid Production PossibleCapacitive StdDev [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.507561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.540565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Active power limit [W]
Real number (ℝ)

High correlation  Missing 

Distinct15
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2982.5445
Minimum0
Maximum3000
Zeros126
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:33.574223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation212.10731
Coefficient of variation (CV)0.071116228
Kurtosis189.9017
Mean2982.5445
Median Absolute Deviation (MAD)0
Skewness-13.759617
Sum76320330
Variance44989.512
MonotonicityNot monotonic
2025-05-05T17:41:33.626604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3000 25090
95.7%
0 126
 
0.5%
2865 111
 
0.4%
2820 90
 
0.3%
2955 74
 
0.3%
2910 30
 
0.1%
2460 17
 
0.1%
2775 11
 
< 0.1%
2595 8
 
< 0.1%
2550 7
 
< 0.1%
Other values (5) 25
 
0.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 126
0.5%
1650 5
 
< 0.1%
2460 17
 
0.1%
2505 2
 
< 0.1%
2550 7
 
< 0.1%
2595 8
 
< 0.1%
2640 6
 
< 0.1%
2685 6
 
< 0.1%
2730 6
 
< 0.1%
2775 11
 
< 0.1%
ValueCountFrequency (%)
3000 25090
95.7%
2955 74
 
0.3%
2910 30
 
0.1%
2865 111
 
0.4%
2820 90
 
0.3%
2775 11
 
< 0.1%
2730 6
 
< 0.1%
2685 6
 
< 0.1%
2640 6
 
< 0.1%
2595 8
 
< 0.1%

Active power limit source
Categorical

High correlation  Imbalance  Missing 

Distinct2
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
11.0
25553 
0.0
 
36

Length

Max length4
Median length4
Mean length3.9985931
Min length3

Characters and Unicode

Total characters102320
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 25553
97.5%
0.0 36
 
0.1%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.688391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.725108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 25553
99.9%
0.0 36
 
0.1%

Most occurring characters

ValueCountFrequency (%)
1 51106
49.9%
0 25625
25.0%
. 25589
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 102320
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 51106
49.9%
0 25625
25.0%
. 25589
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 102320
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 51106
49.9%
0 25625
25.0%
. 25589
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 102320
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 51106
49.9%
0 25625
25.0%
. 25589
25.0%

Reactive power set point [var]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
0.0
25589 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.767059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.802108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 51178
66.7%
. 25589
33.3%

Power factor set point
Categorical

High correlation  Imbalance  Missing 

Distinct2
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
1.0
25553 
0.0
 
36

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters76767
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 25553
97.5%
0.0 36
 
0.1%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.841973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.877583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 25553
99.9%
0.0 36
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 25625
33.4%
. 25589
33.3%
1 25553
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 25625
33.4%
. 25589
33.3%
1 25553
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 25625
33.4%
. 25589
33.3%
1 25553
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 25625
33.4%
. 25589
33.3%
1 25553
33.3%

Power factor set point source
Categorical

High correlation  Imbalance  Missing 

Distinct2
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.5 MiB
11.0
25553 
0.0
 
36

Length

Max length4
Median length4
Mean length3.9985931
Min length3

Characters and Unicode

Total characters102320
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 25553
97.5%
0.0 36
 
0.1%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:33.922978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:33.959757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 25553
99.9%
0.0 36
 
0.1%

Most occurring characters

ValueCountFrequency (%)
1 51106
49.9%
0 25625
25.0%
. 25589
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 102320
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 51106
49.9%
0 25625
25.0%
. 25589
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 102320
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 51106
49.9%
0 25625
25.0%
. 25589
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 102320
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 51106
49.9%
0 25625
25.0%
. 25589
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct34
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean21.298878
Minimum0
Maximum41
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:34.005788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q117
median21
Q325
95-th percentile30
Maximum41
Range41
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.2348331
Coefficient of variation (CV)0.24577975
Kurtosis0.26540058
Mean21.298878
Median Absolute Deviation (MAD)4
Skewness0.55204926
Sum545017
Variance27.403477
MonotonicityNot monotonic
2025-05-05T17:41:34.068476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
18 2545
 
9.7%
25 2170
 
8.3%
19 2126
 
8.1%
17 1995
 
7.6%
16 1664
 
6.3%
21 1552
 
5.9%
20 1540
 
5.9%
27 1537
 
5.9%
26 1423
 
5.4%
23 1270
 
4.8%
Other values (24) 7767
29.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
9 8
 
< 0.1%
10 102
 
0.4%
11 152
 
0.6%
12 317
 
1.2%
13 442
 
1.7%
14 751
 
2.9%
15 1099
4.2%
16 1664
6.3%
17 1995
7.6%
ValueCountFrequency (%)
41 8
 
< 0.1%
40 49
 
0.2%
39 38
 
0.1%
38 80
 
0.3%
37 37
 
0.1%
36 99
0.4%
35 105
0.4%
34 218
0.8%
33 184
0.7%
32 162
0.6%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct28
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean35.247763
Minimum0
Maximum48
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:34.131791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q133
median36
Q338
95-th percentile41
Maximum48
Range48
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.890216
Coefficient of variation (CV)0.11036774
Kurtosis0.40311631
Mean35.247763
Median Absolute Deviation (MAD)3
Skewness-0.3759123
Sum901955
Variance15.133781
MonotonicityNot monotonic
2025-05-05T17:41:34.194664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
38 3361
12.8%
34 2445
9.3%
37 2363
9.0%
33 2290
8.7%
39 2256
8.6%
36 2225
8.5%
32 2053
7.8%
35 1748
6.7%
40 1345
 
5.1%
31 1136
 
4.3%
Other values (18) 4367
16.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
22 3
 
< 0.1%
23 24
 
0.1%
24 26
 
0.1%
25 214
 
0.8%
26 284
 
1.1%
27 394
1.5%
28 528
2.0%
29 577
2.2%
30 808
3.1%
ValueCountFrequency (%)
48 5
 
< 0.1%
47 13
 
< 0.1%
46 16
 
0.1%
45 47
 
0.2%
44 132
 
0.5%
43 361
 
1.4%
42 473
 
1.8%
41 460
 
1.8%
40 1345
5.1%
39 2256
8.6%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct32
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean23.23346
Minimum0
Maximum42
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:34.258991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q119
median22
Q327
95-th percentile34
Maximum42
Range42
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.6718306
Coefficient of variation (CV)0.24412337
Kurtosis-0.022986445
Mean23.23346
Median Absolute Deviation (MAD)4
Skewness0.68317973
Sum594521
Variance32.169662
MonotonicityNot monotonic
2025-05-05T17:41:34.322995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
19 2283
 
8.7%
20 2226
 
8.5%
18 2099
 
8.0%
21 1863
 
7.1%
23 1590
 
6.1%
25 1474
 
5.6%
17 1395
 
5.3%
24 1354
 
5.2%
22 1275
 
4.9%
27 1264
 
4.8%
Other values (22) 8766
33.4%
ValueCountFrequency (%)
0 2
 
< 0.1%
12 16
 
0.1%
13 177
 
0.7%
14 387
 
1.5%
15 409
 
1.6%
16 1051
4.0%
17 1395
5.3%
18 2099
8.0%
19 2283
8.7%
20 2226
8.5%
ValueCountFrequency (%)
42 44
 
0.2%
41 54
 
0.2%
40 67
 
0.3%
39 56
 
0.2%
38 111
 
0.4%
37 146
 
0.6%
36 359
1.4%
35 302
1.2%
34 420
1.6%
33 470
1.8%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct35
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean42.976279
Minimum0
Maximum60
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:34.388122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q140
median43
Q346
95-th percentile49
Maximum60
Range60
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.0517724
Coefficient of variation (CV)0.094279274
Kurtosis0.88137922
Mean42.976279
Median Absolute Deviation (MAD)3
Skewness-0.25792773
Sum1099720
Variance16.41686
MonotonicityNot monotonic
2025-05-05T17:41:34.453398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
41 2868
10.9%
42 2589
9.9%
47 2447
9.3%
46 2280
8.7%
45 2037
7.8%
40 1882
 
7.2%
43 1827
 
7.0%
44 1768
 
6.7%
48 1513
 
5.8%
39 1313
 
5.0%
Other values (25) 5065
19.3%
ValueCountFrequency (%)
0 2
 
< 0.1%
27 2
 
< 0.1%
28 9
 
< 0.1%
29 27
 
0.1%
30 16
 
0.1%
31 20
 
0.1%
32 54
 
0.2%
33 96
 
0.4%
34 220
0.8%
35 411
1.6%
ValueCountFrequency (%)
60 4
 
< 0.1%
59 2
 
< 0.1%
58 12
 
< 0.1%
57 7
 
< 0.1%
56 10
 
< 0.1%
55 12
 
< 0.1%
54 42
 
0.2%
53 72
 
0.3%
52 80
0.3%
51 187
0.7%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct123
Distinct (%)0.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean69.778694
Minimum0
Maximum140
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:34.666562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q158
median70
Q378
95-th percentile116
Maximum140
Range140
Interquartile range (IQR)20

Descriptive statistics

Standard deviation21.878242
Coefficient of variation (CV)0.31353757
Kurtosis0.54846016
Mean69.778694
Median Absolute Deviation (MAD)9
Skewness0.47944737
Sum1785567
Variance478.65749
MonotonicityNot monotonic
2025-05-05T17:41:34.743659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73 1019
 
3.9%
74 973
 
3.7%
72 972
 
3.7%
75 865
 
3.3%
71 857
 
3.3%
70 810
 
3.1%
68 784
 
3.0%
76 766
 
2.9%
69 741
 
2.8%
77 732
 
2.8%
Other values (113) 17070
65.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
17 3
 
< 0.1%
18 12
 
< 0.1%
19 3
 
< 0.1%
21 1
 
< 0.1%
23 5
 
< 0.1%
24 9
 
< 0.1%
25 11
 
< 0.1%
26 24
 
0.1%
27 70
0.3%
ValueCountFrequency (%)
140 4
 
< 0.1%
139 2
 
< 0.1%
138 1
 
< 0.1%
137 2
 
< 0.1%
136 3
 
< 0.1%
135 2
 
< 0.1%
134 2
 
< 0.1%
133 13
 
< 0.1%
132 27
0.1%
131 33
0.1%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct37
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean34.643245
Minimum0
Maximum54
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:34.818629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q131
median33
Q338
95-th percentile44
Maximum54
Range54
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.7777892
Coefficient of variation (CV)0.13791402
Kurtosis0.31357268
Mean34.643245
Median Absolute Deviation (MAD)3
Skewness0.74109104
Sum886486
Variance22.82727
MonotonicityNot monotonic
2025-05-05T17:41:34.889448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
31 3959
15.1%
32 3326
12.7%
30 3318
12.7%
38 2049
7.8%
37 1755
 
6.7%
39 1658
 
6.3%
33 1267
 
4.8%
36 1245
 
4.8%
29 1174
 
4.5%
34 895
 
3.4%
Other values (27) 4943
18.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
19 11
 
< 0.1%
20 21
0.1%
21 14
 
0.1%
22 8
 
< 0.1%
23 8
 
< 0.1%
24 6
 
< 0.1%
25 18
0.1%
26 22
0.1%
27 44
0.2%
ValueCountFrequency (%)
54 1
 
< 0.1%
53 13
 
< 0.1%
52 5
 
< 0.1%
51 13
 
< 0.1%
50 26
 
0.1%
49 26
 
0.1%
48 133
 
0.5%
47 162
 
0.6%
46 400
1.5%
45 472
1.8%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct33
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean18.048497
Minimum0
Maximum37
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:34.956792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q114
median17
Q322
95-th percentile29
Maximum37
Range37
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.8207246
Coefficient of variation (CV)0.32250467
Kurtosis-0.13758687
Mean18.048497
Median Absolute Deviation (MAD)4
Skewness0.64113329
Sum461843
Variance33.880835
MonotonicityNot monotonic
2025-05-05T17:41:35.024501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
14 2251
 
8.6%
13 1896
 
7.2%
12 1881
 
7.2%
16 1782
 
6.8%
15 1633
 
6.2%
17 1491
 
5.7%
19 1483
 
5.7%
18 1452
 
5.5%
21 1216
 
4.6%
20 1151
 
4.4%
Other values (23) 9353
35.7%
ValueCountFrequency (%)
0 2
 
< 0.1%
6 1
 
< 0.1%
7 82
 
0.3%
8 278
 
1.1%
9 347
 
1.3%
10 685
 
2.6%
11 1150
4.4%
12 1881
7.2%
13 1896
7.2%
14 2251
8.6%
ValueCountFrequency (%)
37 30
 
0.1%
36 68
 
0.3%
35 63
 
0.2%
34 73
 
0.3%
33 88
 
0.3%
32 138
 
0.5%
31 324
1.2%
30 356
1.4%
29 398
1.5%
28 579
2.2%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.6 MiB
999.0
25589 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters127945
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:35.089176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:35.122229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 76767
60.0%
. 25589
 
20.0%
0 25589
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation  Missing  Skewed  Zeros 

Distinct387
Distinct (%)1.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean8.6651061
Minimum-3276.8
Maximum91.4
Zeros297
Zeros (%)1.1%
Negative9463
Negative (%)36.1%
Memory size1.4 MiB
2025-05-05T17:41:35.172359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3276.8
5-th percentile-2
Q1-0.8
median0.8
Q317
95-th percentile42.9
Maximum91.4
Range3368.2
Interquartile range (IQR)17.8

Descriptive statistics

Standard deviation33.662381
Coefficient of variation (CV)3.8848204
Kurtosis7091.9969
Mean8.6651061
Median Absolute Deviation (MAD)2.5
Skewness-72.305716
Sum221731.4
Variance1133.1559
MonotonicityNot monotonic
2025-05-05T17:41:35.250140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 4360
 
16.6%
0.9 1317
 
5.0%
0.8 810
 
3.1%
0.7 603
 
2.3%
-1.2 565
 
2.2%
-1.3 536
 
2.0%
78 513
 
2.0%
-1.4 506
 
1.9%
-1.1 503
 
1.9%
-1 491
 
1.9%
Other values (377) 15385
58.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-3276.8 2
 
< 0.1%
-2.6 11
 
< 0.1%
-2.5 22
 
0.1%
-2.4 111
 
0.4%
-2.3 291
1.1%
-2.2 326
1.2%
-2.1 317
1.2%
-2 332
1.3%
-1.9 352
1.3%
-1.8 412
1.6%
ValueCountFrequency (%)
91.4 3
 
< 0.1%
88.8 302
1.2%
88.7 5
 
< 0.1%
88.3 1
 
< 0.1%
78 513
2.0%
77.9 1
 
< 0.1%
76.8 1
 
< 0.1%
64.9 1
 
< 0.1%
64.6 1
 
< 0.1%
64.4 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct228
Distinct (%)0.9%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean3.5615264
Minimum-3
Maximum3276.7
Zeros246
Zeros (%)0.9%
Negative19927
Negative (%)76.0%
Memory size1.4 MiB
2025-05-05T17:41:35.326981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-2.8
Q1-2.8
median-2.7
Q3-0.6
95-th percentile20
Maximum3276.7
Range3279.7
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation32.435198
Coefficient of variation (CV)9.1071059
Kurtosis8105.292
Mean3.5615264
Median Absolute Deviation (MAD)0.1
Skewness80.671405
Sum91135.9
Variance1052.0421
MonotonicityNot monotonic
2025-05-05T17:41:35.404284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 12393
47.3%
20 3880
 
14.8%
-2.7 1092
 
4.2%
-2.6 709
 
2.7%
78 438
 
1.7%
-2.5 390
 
1.5%
-1.1 360
 
1.4%
-2.4 354
 
1.4%
-1.3 347
 
1.3%
-1.2 331
 
1.3%
Other values (218) 5295
20.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-3 4
 
< 0.1%
-2.8 12393
47.3%
-2.7 1092
 
4.2%
-2.6 709
 
2.7%
-2.5 390
 
1.5%
-2.4 354
 
1.4%
-2.3 289
 
1.1%
-2.2 194
 
0.7%
-2.1 195
 
0.7%
-2 217
 
0.8%
ValueCountFrequency (%)
3276.7 2
 
< 0.1%
91.4 1
 
< 0.1%
88.8 137
 
0.5%
88.7 5
 
< 0.1%
80.5 1
 
< 0.1%
78.2 14
 
0.1%
78 438
1.7%
77.3 1
 
< 0.1%
76.8 1
 
< 0.1%
76.7 1
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct419
Distinct (%)1.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean5.1796436
Minimum-2.7
Maximum91.4
Zeros456
Zeros (%)1.7%
Negative16014
Negative (%)61.1%
Memory size1.4 MiB
2025-05-05T17:41:35.482406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.5
Q1-2.3
median-1
Q36
95-th percentile20
Maximum91.4
Range94.1
Interquartile range (IQR)8.3

Descriptive statistics

Standard deviation14.937173
Coefficient of variation (CV)2.8838226
Kurtosis14.619577
Mean5.1796436
Median Absolute Deviation (MAD)1.4
Skewness3.5273706
Sum132541.9
Variance223.11914
MonotonicityNot monotonic
2025-05-05T17:41:35.560459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3851
 
14.7%
-2.5 3061
 
11.7%
-2.4 1527
 
5.8%
-2.3 1022
 
3.9%
-2.6 1007
 
3.8%
-2.2 727
 
2.8%
-1.9 568
 
2.2%
-2.1 561
 
2.1%
-1.8 540
 
2.1%
-2 532
 
2.0%
Other values (409) 12193
46.5%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-2.7 127
 
0.5%
-2.6 1007
 
3.8%
-2.5 3061
11.7%
-2.4 1527
5.8%
-2.3 1022
 
3.9%
-2.2 727
 
2.8%
-2.1 561
 
2.1%
-2 532
 
2.0%
-1.9 568
 
2.2%
-1.8 540
 
2.1%
ValueCountFrequency (%)
91.4 1
 
< 0.1%
91.3 1
 
< 0.1%
90.9 1
 
< 0.1%
88.8 136
0.5%
88.7 17
 
0.1%
88.6 2
 
< 0.1%
88.5 1
 
< 0.1%
88.3 1
 
< 0.1%
88.2 1
 
< 0.1%
88.1 1
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct254
Distinct (%)1.0%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.2685568
Minimum0
Maximum44.8
Zeros4865
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:35.637338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.4
Q31
95-th percentile6.8
Maximum44.8
Range44.8
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation3.2969054
Coefficient of variation (CV)2.5989419
Kurtosis72.821039
Mean1.2685568
Median Absolute Deviation (MAD)0.3
Skewness7.3631074
Sum32461.1
Variance10.869585
MonotonicityNot monotonic
2025-05-05T17:41:35.715183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4865
18.6%
0.1 2801
10.7%
0.2 2357
 
9.0%
0.3 2117
 
8.1%
0.4 1924
 
7.3%
0.5 1642
 
6.3%
0.6 1195
 
4.6%
0.7 897
 
3.4%
0.8 690
 
2.6%
0.9 542
 
2.1%
Other values (244) 6559
25.0%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4865
18.6%
0.1 2801
10.7%
0.2 2357
9.0%
0.3 2117
8.1%
0.4 1924
 
7.3%
0.5 1642
 
6.3%
0.6 1195
 
4.6%
0.7 897
 
3.4%
0.8 690
 
2.6%
0.9 542
 
2.1%
ValueCountFrequency (%)
44.8 1
 
< 0.1%
44.1 1
 
< 0.1%
43.9 2
< 0.1%
43.7 3
< 0.1%
43.6 2
< 0.1%
43.5 1
 
< 0.1%
43.3 1
 
< 0.1%
43.1 1
 
< 0.1%
42.9 4
< 0.1%
42.7 2
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct59
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean60.299738
Minimum0
Maximum95
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:35.793661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49
Q154
median57
Q365
95-th percentile82
Maximum95
Range95
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.185836
Coefficient of variation (CV)0.16892007
Kurtosis0.70618426
Mean60.299738
Median Absolute Deviation (MAD)5
Skewness1.0944446
Sum1543010
Variance103.75125
MonotonicityNot monotonic
2025-05-05T17:41:35.872172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 1892
 
7.2%
56 1840
 
7.0%
55 1816
 
6.9%
57 1476
 
5.6%
53 1466
 
5.6%
58 1439
 
5.5%
52 1208
 
4.6%
59 1146
 
4.4%
51 1049
 
4.0%
50 946
 
3.6%
Other values (49) 11311
43.2%
ValueCountFrequency (%)
0 2
 
< 0.1%
38 35
 
0.1%
39 15
 
0.1%
40 18
 
0.1%
41 23
 
0.1%
42 9
 
< 0.1%
43 13
 
< 0.1%
44 78
0.3%
45 92
0.4%
46 158
0.6%
ValueCountFrequency (%)
95 2
 
< 0.1%
94 23
 
0.1%
93 23
 
0.1%
92 48
 
0.2%
91 70
0.3%
90 96
0.4%
89 100
0.4%
88 100
0.4%
87 119
0.5%
86 121
0.5%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct58
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean63.961429
Minimum0
Maximum96
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:36.087836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54
Q158
median61
Q368
95-th percentile84
Maximum96
Range96
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9815456
Coefficient of variation (CV)0.14042128
Kurtosis1.2518601
Mean63.961429
Median Absolute Deviation (MAD)4
Skewness1.1127881
Sum1636709
Variance80.668162
MonotonicityNot monotonic
2025-05-05T17:41:36.165664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61 2210
 
8.4%
59 2007
 
7.7%
60 1688
 
6.4%
58 1680
 
6.4%
62 1582
 
6.0%
63 1404
 
5.4%
56 1167
 
4.5%
57 1072
 
4.1%
55 1014
 
3.9%
64 992
 
3.8%
Other values (48) 10773
41.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
40 11
 
< 0.1%
41 8
 
< 0.1%
42 6
 
< 0.1%
43 4
 
< 0.1%
44 28
0.1%
45 13
< 0.1%
46 16
0.1%
47 31
0.1%
48 31
0.1%
ValueCountFrequency (%)
96 1
 
< 0.1%
95 20
 
0.1%
94 75
0.3%
93 85
0.3%
92 82
0.3%
91 75
0.3%
90 78
0.3%
89 86
0.3%
88 99
0.4%
87 124
0.5%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct60
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean58.868889
Minimum0
Maximum96
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:36.242740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q152
median55
Q364
95-th percentile82
Maximum96
Range96
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.768742
Coefficient of variation (CV)0.18292756
Kurtosis0.81903136
Mean58.868889
Median Absolute Deviation (MAD)5
Skewness1.1813964
Sum1506396
Variance115.96581
MonotonicityNot monotonic
2025-05-05T17:41:36.323107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 1934
 
7.4%
52 1837
 
7.0%
53 1674
 
6.4%
55 1630
 
6.2%
56 1571
 
6.0%
51 1350
 
5.2%
50 1213
 
4.6%
57 1008
 
3.8%
49 1006
 
3.8%
48 938
 
3.6%
Other values (50) 11428
43.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
38 37
 
0.1%
39 16
 
0.1%
40 17
 
0.1%
41 24
 
0.1%
42 27
 
0.1%
43 42
 
0.2%
44 135
 
0.5%
45 190
0.7%
46 381
1.5%
ValueCountFrequency (%)
96 1
 
< 0.1%
95 18
 
0.1%
94 34
 
0.1%
93 45
0.2%
92 73
0.3%
91 94
0.4%
90 95
0.4%
89 93
0.4%
88 88
0.3%
87 100
0.4%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation  Missing 

Distinct48
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean42.201063
Minimum0
Maximum61
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:36.400454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q139
median42
Q345
95-th percentile48
Maximum61
Range61
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.9775757
Coefficient of variation (CV)0.094252975
Kurtosis4.1484729
Mean42.201063
Median Absolute Deviation (MAD)3
Skewness-0.68814714
Sum1079883
Variance15.821109
MonotonicityNot monotonic
2025-05-05T17:41:36.475302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
44 2620
10.0%
39 2454
9.4%
40 2442
9.3%
42 2400
9.2%
43 2210
8.4%
45 2063
7.9%
46 1961
7.5%
41 1875
7.2%
38 1792
6.8%
37 1297
 
4.9%
Other values (38) 4475
17.1%
ValueCountFrequency (%)
0 2
< 0.1%
11 1
 
< 0.1%
12 3
< 0.1%
13 3
< 0.1%
14 4
< 0.1%
15 1
 
< 0.1%
16 2
< 0.1%
17 2
< 0.1%
18 1
 
< 0.1%
19 4
< 0.1%
ValueCountFrequency (%)
61 4
 
< 0.1%
58 1
 
< 0.1%
55 5
 
< 0.1%
54 27
 
0.1%
53 29
 
0.1%
52 55
 
0.2%
51 125
 
0.5%
50 316
 
1.2%
49 546
2.1%
48 1035
3.9%

HourCounters Average Total Avg. [h]
Categorical

Constant  Missing 

Distinct1
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Memory size2.6 MiB
600.0
25589 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters127945
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 25589
97.6%
(Missing) 619
 
2.4%

Length

2025-05-05T17:41:36.540699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-05T17:41:36.575080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 25589
100.0%

Most occurring characters

ValueCountFrequency (%)
0 76767
60.0%
6 25589
 
20.0%
. 25589
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 76767
60.0%
6 25589
 
20.0%
. 25589
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 76767
60.0%
6 25589
 
20.0%
. 25589
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 127945
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 76767
60.0%
6 25589
 
20.0%
. 25589
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct70
Distinct (%)0.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean599.18055
Minimum0
Maximum972
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:36.625819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum972
Range972
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.524892
Coefficient of variation (CV)0.025910207
Kurtosis727.376
Mean599.18055
Median Absolute Deviation (MAD)0
Skewness-23.868866
Sum15332431
Variance241.02227
MonotonicityNot monotonic
2025-05-05T17:41:36.705073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25462
97.2%
491 16
 
0.1%
492 14
 
0.1%
490 7
 
< 0.1%
493 5
 
< 0.1%
489 5
 
< 0.1%
291 3
 
< 0.1%
487 3
 
< 0.1%
604 2
 
< 0.1%
485 2
 
< 0.1%
Other values (60) 70
 
0.3%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 2
< 0.1%
35 1
< 0.1%
42 1
< 0.1%
103 2
< 0.1%
105 1
< 0.1%
124 2
< 0.1%
136 1
< 0.1%
153 1
< 0.1%
160 1
< 0.1%
169 1
< 0.1%
ValueCountFrequency (%)
972 1
 
< 0.1%
605 1
 
< 0.1%
604 2
 
< 0.1%
600 25462
97.2%
596 2
 
< 0.1%
593 1
 
< 0.1%
585 1
 
< 0.1%
584 1
 
< 0.1%
583 1
 
< 0.1%
567 2
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation  Missing 

Distinct84
Distinct (%)0.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean596.11517
Minimum0
Maximum972
Zeros128
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:36.784503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum972
Range972
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.233318
Coefficient of variation (CV)0.075880166
Kurtosis158.11957
Mean596.11517
Median Absolute Deviation (MAD)0
Skewness-12.450625
Sum15253991
Variance2046.0531
MonotonicityNot monotonic
2025-05-05T17:41:36.862772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25326
96.6%
0 128
 
0.5%
491 15
 
0.1%
492 14
 
0.1%
490 7
 
< 0.1%
493 6
 
< 0.1%
489 5
 
< 0.1%
487 3
 
< 0.1%
585 2
 
< 0.1%
488 2
 
< 0.1%
Other values (74) 81
 
0.3%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 128
0.5%
23 1
 
< 0.1%
35 1
 
< 0.1%
42 1
 
< 0.1%
63 1
 
< 0.1%
75 1
 
< 0.1%
103 2
 
< 0.1%
105 1
 
< 0.1%
123 1
 
< 0.1%
124 1
 
< 0.1%
ValueCountFrequency (%)
972 1
 
< 0.1%
604 2
 
< 0.1%
600 25326
96.6%
598 1
 
< 0.1%
597 1
 
< 0.1%
596 1
 
< 0.1%
593 1
 
< 0.1%
585 2
 
< 0.1%
584 1
 
< 0.1%
583 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation  Missing 

Distinct94
Distinct (%)0.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean594.88948
Minimum0
Maximum972
Zeros174
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:36.942128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum972
Range972
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.446106
Coefficient of variation (CV)0.088161091
Kurtosis117.27233
Mean594.88948
Median Absolute Deviation (MAD)0
Skewness-10.779835
Sum15222627
Variance2750.594
MonotonicityNot monotonic
2025-05-05T17:41:37.021068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25274
96.4%
0 174
 
0.7%
491 14
 
0.1%
492 12
 
< 0.1%
490 7
 
< 0.1%
489 5
 
< 0.1%
433 4
 
< 0.1%
487 3
 
< 0.1%
493 3
 
< 0.1%
473 2
 
< 0.1%
Other values (84) 91
 
0.3%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 174
0.7%
13 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
34 1
 
< 0.1%
37 1
 
< 0.1%
53 1
 
< 0.1%
63 1
 
< 0.1%
99 1
 
< 0.1%
103 2
 
< 0.1%
ValueCountFrequency (%)
972 1
 
< 0.1%
604 2
 
< 0.1%
600 25274
96.4%
598 1
 
< 0.1%
597 1
 
< 0.1%
596 1
 
< 0.1%
593 1
 
< 0.1%
585 1
 
< 0.1%
584 1
 
< 0.1%
583 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct180
Distinct (%)0.7%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean582.88515
Minimum0
Maximum972
Zeros642
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:37.099564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum972
Range972
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.344527
Coefficient of variation (CV)0.16700464
Kurtosis30.579595
Mean582.88515
Median Absolute Deviation (MAD)0
Skewness-5.6676848
Sum14915448
Variance9475.9569
MonotonicityNot monotonic
2025-05-05T17:41:37.177441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 24731
94.4%
0 642
 
2.4%
281 4
 
< 0.1%
277 4
 
< 0.1%
279 4
 
< 0.1%
446 3
 
< 0.1%
485 3
 
< 0.1%
540 3
 
< 0.1%
230 3
 
< 0.1%
508 3
 
< 0.1%
Other values (170) 189
 
0.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 642
2.4%
1 1
 
< 0.1%
14 1
 
< 0.1%
16 1
 
< 0.1%
19 1
 
< 0.1%
20 1
 
< 0.1%
21 1
 
< 0.1%
25 1
 
< 0.1%
29 1
 
< 0.1%
31 1
 
< 0.1%
ValueCountFrequency (%)
972 1
 
< 0.1%
604 2
 
< 0.1%
600 24731
94.4%
599 2
 
< 0.1%
597 1
 
< 0.1%
596 1
 
< 0.1%
593 1
 
< 0.1%
584 2
 
< 0.1%
582 1
 
< 0.1%
579 1
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct440
Distinct (%)1.7%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean202.94967
Minimum0
Maximum600
Zeros16499
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:37.254047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation280.07613
Coefficient of variation (CV)1.3800275
Kurtosis-1.5089226
Mean202.94967
Median Absolute Deviation (MAD)0
Skewness0.68317641
Sum5193279
Variance78442.638
MonotonicityNot monotonic
2025-05-05T17:41:37.332612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16499
63.0%
600 8204
31.3%
396 7
 
< 0.1%
449 6
 
< 0.1%
106 5
 
< 0.1%
582 5
 
< 0.1%
154 5
 
< 0.1%
292 5
 
< 0.1%
413 5
 
< 0.1%
387 5
 
< 0.1%
Other values (430) 843
 
3.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 16499
63.0%
1 3
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
11 3
 
< 0.1%
ValueCountFrequency (%)
600 8204
31.3%
597 2
 
< 0.1%
596 1
 
< 0.1%
593 1
 
< 0.1%
592 1
 
< 0.1%
591 3
 
< 0.1%
589 2
 
< 0.1%
588 3
 
< 0.1%
587 1
 
< 0.1%
586 1
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct595
Distinct (%)2.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean266.72754
Minimum0
Maximum972
Zeros12940
Zeros (%)49.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:37.412752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum972
Range972
Interquartile range (IQR)600

Descriptive statistics

Standard deviation286.49167
Coefficient of variation (CV)1.0740986
Kurtosis-1.890429
Mean266.72754
Median Absolute Deviation (MAD)0
Skewness0.21434979
Sum6825291
Variance82077.479
MonotonicityNot monotonic
2025-05-05T17:41:37.635874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12940
49.4%
600 9565
36.5%
540 19
 
0.1%
552 19
 
0.1%
524 18
 
0.1%
560 18
 
0.1%
535 17
 
0.1%
558 16
 
0.1%
555 15
 
0.1%
570 15
 
0.1%
Other values (585) 2947
 
11.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 12940
49.4%
1 4
 
< 0.1%
2 4
 
< 0.1%
3 3
 
< 0.1%
4 3
 
< 0.1%
6 1
 
< 0.1%
7 5
 
< 0.1%
8 2
 
< 0.1%
9 4
 
< 0.1%
10 3
 
< 0.1%
ValueCountFrequency (%)
972 1
 
< 0.1%
604 2
 
< 0.1%
600 9565
36.5%
599 3
 
< 0.1%
598 1
 
< 0.1%
597 4
 
< 0.1%
596 2
 
< 0.1%
595 7
 
< 0.1%
594 2
 
< 0.1%
593 5
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct281
Distinct (%)1.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean27.934972
Minimum0
Maximum600
Zeros10421
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:37.712981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q342
95-th percentile102
Maximum600
Range600
Interquartile range (IQR)42

Descriptive statistics

Standard deviation39.110197
Coefficient of variation (CV)1.4000443
Kurtosis21.403323
Mean27.934972
Median Absolute Deviation (MAD)16
Skewness3.1246876
Sum714828
Variance1529.6075
MonotonicityNot monotonic
2025-05-05T17:41:37.790553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10421
39.8%
19 437
 
1.7%
16 426
 
1.6%
14 416
 
1.6%
17 412
 
1.6%
15 397
 
1.5%
18 396
 
1.5%
13 368
 
1.4%
20 319
 
1.2%
21 317
 
1.2%
Other values (271) 11680
44.6%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 10421
39.8%
1 34
 
0.1%
2 25
 
0.1%
3 13
 
< 0.1%
4 17
 
0.1%
5 18
 
0.1%
6 21
 
0.1%
7 23
 
0.1%
8 22
 
0.1%
9 62
 
0.2%
ValueCountFrequency (%)
600 6
< 0.1%
521 1
 
< 0.1%
505 1
 
< 0.1%
492 1
 
< 0.1%
449 1
 
< 0.1%
409 1
 
< 0.1%
393 1
 
< 0.1%
388 1
 
< 0.1%
373 1
 
< 0.1%
355 2
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct38
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean3.0565477
Minimum0
Maximum600
Zeros25435
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:37.862113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.701497
Coefficient of variation (CV)13.643332
Kurtosis193.76114
Mean3.0565477
Median Absolute Deviation (MAD)0
Skewness13.922751
Sum78214
Variance1739.0148
MonotonicityNot monotonic
2025-05-05T17:41:37.930947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 25435
97.1%
600 114
 
0.4%
2 3
 
< 0.1%
15 2
 
< 0.1%
83 2
 
< 0.1%
477 1
 
< 0.1%
89 1
 
< 0.1%
127 1
 
< 0.1%
240 1
 
< 0.1%
301 1
 
< 0.1%
Other values (28) 28
 
0.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 25435
97.1%
2 3
 
< 0.1%
15 2
 
< 0.1%
58 1
 
< 0.1%
66 1
 
< 0.1%
78 1
 
< 0.1%
83 2
 
< 0.1%
84 1
 
< 0.1%
89 1
 
< 0.1%
91 1
 
< 0.1%
ValueCountFrequency (%)
600 114
0.4%
585 1
 
< 0.1%
577 1
 
< 0.1%
567 1
 
< 0.1%
536 1
 
< 0.1%
501 1
 
< 0.1%
477 1
 
< 0.1%
455 1
 
< 0.1%
421 1
 
< 0.1%
414 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct140
Distinct (%)0.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean591.57478
Minimum0
Maximum972
Zeros287
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:38.007695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum972
Range972
Interquartile range (IQR)0

Descriptive statistics

Standard deviation67.591786
Coefficient of variation (CV)0.11425738
Kurtosis68.3837
Mean591.57478
Median Absolute Deviation (MAD)0
Skewness-8.3003659
Sum15137807
Variance4568.6495
MonotonicityNot monotonic
2025-05-05T17:41:38.086239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25099
95.8%
0 287
 
1.1%
491 13
 
< 0.1%
492 13
 
< 0.1%
490 8
 
< 0.1%
493 6
 
< 0.1%
540 6
 
< 0.1%
489 5
 
< 0.1%
487 3
 
< 0.1%
541 3
 
< 0.1%
Other values (130) 146
 
0.6%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 287
1.1%
1 1
 
< 0.1%
6 1
 
< 0.1%
14 1
 
< 0.1%
17 1
 
< 0.1%
19 1
 
< 0.1%
20 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
25 1
 
< 0.1%
ValueCountFrequency (%)
972 1
 
< 0.1%
604 2
 
< 0.1%
600 25099
95.8%
598 1
 
< 0.1%
597 1
 
< 0.1%
596 1
 
< 0.1%
593 2
 
< 0.1%
585 2
 
< 0.1%
584 1
 
< 0.1%
583 1
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct599
Distinct (%)2.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean403.61984
Minimum0
Maximum972
Zeros6878
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:38.163807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median600
Q3600
95-th percentile600
Maximum972
Range972
Interquartile range (IQR)600

Descriptive statistics

Standard deviation268.95364
Coefficient of variation (CV)0.66635388
Kurtosis-1.3724095
Mean403.61984
Median Absolute Deviation (MAD)0
Skewness-0.73781086
Sum10328228
Variance72336.062
MonotonicityNot monotonic
2025-05-05T17:41:38.243706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 15525
59.2%
0 6878
26.2%
17 21
 
0.1%
35 15
 
0.1%
547 14
 
0.1%
460 13
 
< 0.1%
578 13
 
< 0.1%
342 13
 
< 0.1%
438 12
 
< 0.1%
51 12
 
< 0.1%
Other values (589) 3073
 
11.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 6878
26.2%
1 8
 
< 0.1%
2 6
 
< 0.1%
3 2
 
< 0.1%
4 5
 
< 0.1%
5 7
 
< 0.1%
6 2
 
< 0.1%
7 8
 
< 0.1%
8 6
 
< 0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
972 1
 
< 0.1%
604 1
 
< 0.1%
600 15525
59.2%
599 7
 
< 0.1%
598 11
 
< 0.1%
597 8
 
< 0.1%
596 6
 
< 0.1%
595 7
 
< 0.1%
594 7
 
< 0.1%
593 4
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct166
Distinct (%)0.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean15.966118
Minimum0
Maximum600
Zeros24769
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:38.321040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation93.915835
Coefficient of variation (CV)5.8821959
Kurtosis33.422704
Mean15.966118
Median Absolute Deviation (MAD)0
Skewness5.9145419
Sum408557
Variance8820.184
MonotonicityNot monotonic
2025-05-05T17:41:38.397783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24769
94.5%
600 602
 
2.3%
211 10
 
< 0.1%
212 10
 
< 0.1%
185 3
 
< 0.1%
22 3
 
< 0.1%
56 3
 
< 0.1%
114 2
 
< 0.1%
96 2
 
< 0.1%
250 2
 
< 0.1%
Other values (156) 183
 
0.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 24769
94.5%
1 2
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
18 1
 
< 0.1%
21 1
 
< 0.1%
22 3
 
< 0.1%
ValueCountFrequency (%)
600 602
2.3%
599 1
 
< 0.1%
586 1
 
< 0.1%
585 1
 
< 0.1%
581 1
 
< 0.1%
574 1
 
< 0.1%
570 1
 
< 0.1%
560 1
 
< 0.1%
558 1
 
< 0.1%
541 1
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation  Missing 

Distinct4274
Distinct (%)16.7%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.6573435 × 108
Minimum0
Maximum1.736964 × 108
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:38.474894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.587384 × 108
Q11.618092 × 108
median1.656504 × 108
Q31.69794 × 108
95-th percentile1.729296 × 108
Maximum1.736964 × 108
Range1.736964 × 108
Interquartile range (IQR)7984800

Descriptive statistics

Standard deviation5013544.4
Coefficient of variation (CV)0.030250485
Kurtosis184.95739
Mean1.6573435 × 108
Median Absolute Deviation (MAD)3992400
Skewness-5.6042726
Sum4.2409762 × 1012
Variance2.5135628 × 1013
MonotonicityNot monotonic
2025-05-05T17:41:38.556587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
169498800 7
 
< 0.1%
168487200 7
 
< 0.1%
168728400 7
 
< 0.1%
168098400 6
 
< 0.1%
168102000 6
 
< 0.1%
168105600 6
 
< 0.1%
168051600 6
 
< 0.1%
168055200 6
 
< 0.1%
168433200 6
 
< 0.1%
168058800 6
 
< 0.1%
Other values (4264) 25526
97.4%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4
< 0.1%
157971600 1
 
< 0.1%
157975200 6
< 0.1%
157978800 6
< 0.1%
157982400 6
< 0.1%
157986000 6
< 0.1%
157989600 6
< 0.1%
157993200 6
< 0.1%
157996800 6
< 0.1%
158000400 6
< 0.1%
ValueCountFrequency (%)
173696400 5
< 0.1%
173692800 6
< 0.1%
173689200 6
< 0.1%
173685600 6
< 0.1%
173682000 6
< 0.1%
173678400 6
< 0.1%
173674800 6
< 0.1%
173671200 6
< 0.1%
173667600 6
< 0.1%
173664000 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct25589
Distinct (%)100.0%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.5719454 × 108
Minimum529
Maximum1.6488918 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:38.638149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum529
5-th percentile1.5031397 × 108
Q11.5338333 × 108
median1.5721773 × 108
Q31.6104618 × 108
95-th percentile1.6412165 × 108
Maximum1.6488918 × 108
Range1.6488866 × 108
Interquartile range (IQR)7662848

Descriptive statistics

Standard deviation4844314.6
Coefficient of variation (CV)0.030817321
Kurtosis171.60908
Mean1.5719454 × 108
Median Absolute Deviation (MAD)3831440
Skewness-5.3288365
Sum4.0224511 × 1012
Variance2.3467384 × 1013
MonotonicityNot monotonic
2025-05-05T17:41:38.716162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
159784880 1
 
< 0.1%
159784288 1
 
< 0.1%
159783680 1
 
< 0.1%
159783072 1
 
< 0.1%
159782480 1
 
< 0.1%
159781888 1
 
< 0.1%
159781280 1
 
< 0.1%
159780672 1
 
< 0.1%
159780080 1
 
< 0.1%
159779472 1
 
< 0.1%
Other values (25579) 25579
97.6%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
529 1
< 0.1%
1129 1
< 0.1%
1729 1
< 0.1%
2259 1
< 0.1%
149549184 1
< 0.1%
149549776 1
< 0.1%
149550384 1
< 0.1%
149550976 1
< 0.1%
149551584 1
< 0.1%
149552176 1
< 0.1%
ValueCountFrequency (%)
164889184 1
< 0.1%
164888592 1
< 0.1%
164887984 1
< 0.1%
164887392 1
< 0.1%
164886784 1
< 0.1%
164886176 1
< 0.1%
164885584 1
< 0.1%
164884992 1
< 0.1%
164884384 1
< 0.1%
164883776 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct25462
Distinct (%)99.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.5147965 × 108
Minimum529
Maximum1.5912904 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:38.936294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum529
5-th percentile1.446322 × 108
Q11.4770107 × 108
median1.5150069 × 108
Q31.5528715 × 108
95-th percentile1.5836151 × 108
Maximum1.5912904 × 108
Range1.5912851 × 108
Interquartile range (IQR)7586080

Descriptive statistics

Standard deviation4787672
Coefficient of variation (CV)0.03160604
Kurtosis154.9718
Mean1.5147965 × 108
Median Absolute Deviation (MAD)3793056
Skewness-4.9412003
Sum3.8762129 × 1012
Variance2.2921803 × 1013
MonotonicityNot monotonic
2025-05-05T17:41:39.017372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150460624 33
 
0.1%
154049664 23
 
0.1%
154913968 19
 
0.1%
155055072 17
 
0.1%
150623344 16
 
0.1%
152763376 12
 
< 0.1%
149523056 10
 
< 0.1%
154993008 4
 
< 0.1%
1038 2
 
< 0.1%
154048224 1
 
< 0.1%
Other values (25452) 25452
97.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
529 1
< 0.1%
1038 2
< 0.1%
1113 1
< 0.1%
143867408 1
< 0.1%
143868000 1
< 0.1%
143868608 1
< 0.1%
143869216 1
< 0.1%
143869808 1
< 0.1%
143870400 1
< 0.1%
143871008 1
< 0.1%
ValueCountFrequency (%)
159129040 1
< 0.1%
159128448 1
< 0.1%
159127840 1
< 0.1%
159127248 1
< 0.1%
159126640 1
< 0.1%
159126048 1
< 0.1%
159125440 1
< 0.1%
159124848 1
< 0.1%
159124240 1
< 0.1%
159123648 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct25415
Distinct (%)99.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.5154256 × 108
Minimum24
Maximum1.5917922 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:39.098450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile1.4471184 × 108
Q11.4778018 × 108
median1.5155203 × 108
Q31.5533616 × 108
95-th percentile1.5841174 × 108
Maximum1.5917922 × 108
Range1.5917919 × 108
Interquartile range (IQR)7555984

Descriptive statistics

Standard deviation4776727.2
Coefficient of variation (CV)0.031520697
Kurtosis156.67832
Mean1.5154256 × 108
Median Absolute Deviation (MAD)3778128
Skewness-4.9805599
Sum3.8778226 × 1012
Variance2.2817123 × 1013
MonotonicityNot monotonic
2025-05-05T17:41:39.181305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150511968 41
 
0.2%
150511712 35
 
0.1%
154101008 23
 
0.1%
154964656 18
 
0.1%
155104160 17
 
0.1%
150674672 16
 
0.1%
152814704 12
 
< 0.1%
149600368 10
 
< 0.1%
155043696 4
 
< 0.1%
149529216 3
 
< 0.1%
Other values (25405) 25410
97.0%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
24 1
< 0.1%
188 2
< 0.1%
225 1
< 0.1%
143947040 1
< 0.1%
143947648 1
< 0.1%
143948240 1
< 0.1%
143948848 1
< 0.1%
143949456 1
< 0.1%
143950048 1
< 0.1%
143950640 1
< 0.1%
ValueCountFrequency (%)
159179216 1
< 0.1%
159178624 1
< 0.1%
159178016 1
< 0.1%
159177408 1
< 0.1%
159176816 1
< 0.1%
159176208 1
< 0.1%
159175616 1
< 0.1%
159175024 1
< 0.1%
159174416 1
< 0.1%
159173808 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct24947
Distinct (%)97.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.4536291 × 108
Minimum0
Maximum1.5281709 × 108
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:39.261999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3865904 × 108
Q11.4168214 × 108
median1.4537472 × 108
Q31.490111 × 108
95-th percentile1.520528 × 108
Maximum1.5281709 × 108
Range1.5281709 × 108
Interquartile range (IQR)7328960

Descriptive statistics

Standard deviation4653821.5
Coefficient of variation (CV)0.032015193
Kurtosis147.13364
Mean1.4536291 × 108
Median Absolute Deviation (MAD)3664592
Skewness-4.7650896
Sum3.7196914 × 1012
Variance2.1658055 × 1013
MonotonicityNot monotonic
2025-05-05T17:41:39.345144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148767632 169
 
0.6%
148779408 98
 
0.4%
144407904 76
 
0.3%
145093056 33
 
0.1%
145094208 32
 
0.1%
147919104 27
 
0.1%
139566112 26
 
0.1%
139071360 26
 
0.1%
150678160 17
 
0.1%
145092960 16
 
0.1%
Other values (24937) 25069
95.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4
< 0.1%
137895536 1
 
< 0.1%
137896128 1
 
< 0.1%
137896736 1
 
< 0.1%
137897328 1
 
< 0.1%
137897936 1
 
< 0.1%
137898528 1
 
< 0.1%
137899136 1
 
< 0.1%
137899728 1
 
< 0.1%
137900336 1
 
< 0.1%
ValueCountFrequency (%)
152817088 1
< 0.1%
152816496 1
< 0.1%
152815904 1
< 0.1%
152815296 1
< 0.1%
152814688 1
< 0.1%
152814096 1
< 0.1%
152813488 1
< 0.1%
152812896 1
< 0.1%
152812288 1
< 0.1%
152811696 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct9092
Distinct (%)35.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean49466276
Minimum0
Maximum51911936
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:39.427941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47072932
Q147980128
median49607640
Q350766712
95-th percentile51835622
Maximum51911936
Range51911936
Interquartile range (IQR)2786584

Descriptive statistics

Standard deviation1668598.4
Coefficient of variation (CV)0.033732041
Kurtosis119.08182
Mean49466276
Median Absolute Deviation (MAD)1297496
Skewness-4.2107713
Sum1.2657925 × 1012
Variance2.7842208 × 1012
MonotonicityNot monotonic
2025-05-05T17:41:39.508279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50129536 716
 
2.7%
50693016 711
 
2.7%
47195148 612
 
2.3%
51873920 580
 
2.2%
47671076 534
 
2.0%
47072932 495
 
1.9%
50885496 480
 
1.8%
50433328 416
 
1.6%
49397804 382
 
1.5%
50237568 376
 
1.4%
Other values (9082) 20287
77.4%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
46718524 112
0.4%
46718672 1
 
< 0.1%
46719268 1
 
< 0.1%
46719868 1
 
< 0.1%
46720468 1
 
< 0.1%
46721068 1
 
< 0.1%
46721668 1
 
< 0.1%
46722272 1
 
< 0.1%
46722868 1
 
< 0.1%
ValueCountFrequency (%)
51911936 142
0.5%
51911736 1
 
< 0.1%
51911136 1
 
< 0.1%
51910536 1
 
< 0.1%
51909936 1
 
< 0.1%
51909336 1
 
< 0.1%
51908736 1
 
< 0.1%
51908136 1
 
< 0.1%
51907536 1
 
< 0.1%
51906936 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct12643
Distinct (%)49.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean62350026
Minimum0
Maximum65845920
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:39.584937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59408688
Q160781072
median62358960
Q363893404
95-th percentile65333932
Maximum65845920
Range65845920
Interquartile range (IQR)3112332

Descriptive statistics

Standard deviation2047762.6
Coefficient of variation (CV)0.032843011
Kurtosis132.73689
Mean62350026
Median Absolute Deviation (MAD)1573272
Skewness-4.3733421
Sum1.5954748 × 1012
Variance4.1933316 × 1012
MonotonicityNot monotonic
2025-05-05T17:41:39.663124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62626672 399
 
1.5%
60131892 311
 
1.2%
62187728 281
 
1.1%
61240536 253
 
1.0%
61879056 219
 
0.8%
61331184 214
 
0.8%
65333932 210
 
0.8%
60426468 203
 
0.8%
64749736 188
 
0.7%
63139072 183
 
0.7%
Other values (12633) 23128
88.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4
< 0.1%
59020196 1
 
< 0.1%
59020796 1
 
< 0.1%
59021396 1
 
< 0.1%
59021996 1
 
< 0.1%
59022600 1
 
< 0.1%
59023196 1
 
< 0.1%
59023796 1
 
< 0.1%
59024392 1
 
< 0.1%
59024996 1
 
< 0.1%
ValueCountFrequency (%)
65845920 1
< 0.1%
65845320 1
< 0.1%
65844720 1
< 0.1%
65844120 1
< 0.1%
65843520 1
< 0.1%
65842920 1
< 0.1%
65842320 1
< 0.1%
65841720 1
< 0.1%
65841120 1
< 0.1%
65840520 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct15172
Distinct (%)59.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean6999644.1
Minimum0
Maximum7371870
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:39.740962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6694744
Q16817673
median7006960
Q37164765
95-th percentile7335515.4
Maximum7371870
Range7371870
Interquartile range (IQR)347092

Descriptive statistics

Standard deviation223742.25
Coefficient of variation (CV)0.031964804
Kurtosis148.10791
Mean6999644.1
Median Absolute Deviation (MAD)173754
Skewness-4.7253795
Sum1.7911389 × 1011
Variance5.0060594 × 1010
MonotonicityNot monotonic
2025-05-05T17:41:39.821300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6705226 107
 
0.4%
7141540 89
 
0.3%
7055669 67
 
0.3%
7056960 64
 
0.2%
6799286 61
 
0.2%
6699062 56
 
0.2%
7351003 55
 
0.2%
6771778 51
 
0.2%
7190837 49
 
0.2%
6947454 48
 
0.2%
Other values (15162) 24942
95.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4
< 0.1%
6657338 5
< 0.1%
6657360 1
 
< 0.1%
6657383 2
 
< 0.1%
6657403 3
< 0.1%
6657420 6
< 0.1%
6657438 3
< 0.1%
6657464 1
 
< 0.1%
6657517 1
 
< 0.1%
6657555 1
 
< 0.1%
ValueCountFrequency (%)
7371870 5
< 0.1%
7371855 2
 
< 0.1%
7371840 3
 
< 0.1%
7371824 2
 
< 0.1%
7371806 6
< 0.1%
7371786 4
< 0.1%
7371769 1
 
< 0.1%
7371752 2
 
< 0.1%
7371707 9
< 0.1%
7371684 5
< 0.1%

Service hours [h]
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct157
Distinct (%)0.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean4720008
Minimum0
Maximum4764436
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:39.902971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4687410
Q14687904
median4722680
Q34762942
95-th percentile4762942
Maximum4764436
Range4764436
Interquartile range (IQR)75038

Descriptive statistics

Standard deviation66731.382
Coefficient of variation (CV)0.014137981
Kurtosis3909.0667
Mean4720008
Median Absolute Deviation (MAD)34776
Skewness-55.274275
Sum1.2078029 × 1011
Variance4.4530773 × 109
MonotonicityNot monotonic
2025-05-05T17:41:39.982054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4762942 5958
22.7%
4687904 5738
21.9%
4722680 3568
13.6%
4729615 2139
 
8.2%
4687410 1989
 
7.6%
4694146 1550
 
5.9%
4743179 1452
 
5.5%
4687412 1118
 
4.3%
4764436 789
 
3.0%
4688121 587
 
2.2%
Other values (147) 701
 
2.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
91 1
 
< 0.1%
691 1
 
< 0.1%
1146 1
 
< 0.1%
4687410 1989
 
7.6%
4687412 1118
 
4.3%
4687427 1
 
< 0.1%
4687904 5738
21.9%
4688031 1
 
< 0.1%
4688121 587
 
2.2%
ValueCountFrequency (%)
4764436 789
 
3.0%
4764434 38
 
0.1%
4764432 1
 
< 0.1%
4763831 1
 
< 0.1%
4763228 1
 
< 0.1%
4762942 5958
22.7%
4762627 1
 
< 0.1%
4762336 1
 
< 0.1%
4761980 1
 
< 0.1%
4761856 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct25301
Distinct (%)98.9%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.5146552 × 108
Minimum529
Maximum1.5905141 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:40.058527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum529
5-th percentile1.4467119 × 108
Q11.477281 × 108
median1.5145514 × 108
Q31.5523718 × 108
95-th percentile1.5828388 × 108
Maximum1.5905141 × 108
Range1.5905088 × 108
Interquartile range (IQR)7509088

Descriptive statistics

Standard deviation4748866.1
Coefficient of variation (CV)0.031352787
Kurtosis160.09235
Mean1.5146552 × 108
Median Absolute Deviation (MAD)3754528
Skewness-5.06282
Sum3.8758512 × 1012
Variance2.255173 × 1013
MonotonicityNot monotonic
2025-05-05T17:41:40.138662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150487424 33
 
0.1%
151174640 32
 
0.1%
154001152 23
 
0.1%
151173472 21
 
0.1%
154864016 18
 
0.1%
155005120 17
 
0.1%
156906240 17
 
0.1%
150650144 16
 
0.1%
151173232 16
 
0.1%
152716192 12
 
< 0.1%
Other values (25291) 25384
96.9%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
529 1
< 0.1%
1038 2
< 0.1%
1113 1
< 0.1%
143906400 1
< 0.1%
143906992 1
< 0.1%
143907600 1
< 0.1%
143908192 1
< 0.1%
143908800 1
< 0.1%
143909392 1
< 0.1%
143910000 1
< 0.1%
ValueCountFrequency (%)
159051408 1
< 0.1%
159050816 1
< 0.1%
159050208 1
< 0.1%
159049616 1
< 0.1%
159049008 1
< 0.1%
159048416 1
< 0.1%
159047808 1
< 0.1%
159047216 1
< 0.1%
159046608 1
< 0.1%
159046016 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation  Missing 

Distinct18692
Distinct (%)73.0%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.0242172 × 108
Minimum19
Maximum1.0746975 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:40.362951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile97822432
Q199754120
median1.0260338 × 108
Q31.0488171 × 108
95-th percentile1.0703257 × 108
Maximum1.0746975 × 108
Range1.0746973 × 108
Interquartile range (IQR)5127592

Descriptive statistics

Standard deviation3225129.9
Coefficient of variation (CV)0.031488732
Kurtosis157.31603
Mean1.0242172 × 108
Median Absolute Deviation (MAD)2557408
Skewness-5.0672033
Sum2.6208693 × 1012
Variance1.0401463 × 1013
MonotonicityNot monotonic
2025-05-05T17:41:40.444669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104680848 166
 
0.6%
103658136 157
 
0.6%
98017320 123
 
0.5%
103451144 116
 
0.4%
107175040 115
 
0.4%
103467016 111
 
0.4%
99452952 108
 
0.4%
105209384 107
 
0.4%
103705584 97
 
0.4%
103469152 96
 
0.4%
Other values (18682) 24393
93.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
19 1
< 0.1%
426 1
< 0.1%
752 1
< 0.1%
1278 1
< 0.1%
97141232 1
< 0.1%
97141304 1
< 0.1%
97141360 1
< 0.1%
97141600 1
< 0.1%
97142208 1
< 0.1%
97142232 1
< 0.1%
ValueCountFrequency (%)
107469752 1
< 0.1%
107469152 1
< 0.1%
107468552 1
< 0.1%
107467952 1
< 0.1%
107467352 1
< 0.1%
107466752 1
< 0.1%
107466152 1
< 0.1%
107465552 1
< 0.1%
107464952 1
< 0.1%
107464352 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1957
Distinct (%)7.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean-491.25925
Minimum-5221
Maximum0
Zeros18467
Zeros (%)70.5%
Negative7122
Negative (%)27.2%
Memory size1.4 MiB
2025-05-05T17:41:40.524482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5221
5-th percentile-2361
Q1-294
median0
Q30
95-th percentile0
Maximum0
Range5221
Interquartile range (IQR)294

Descriptive statistics

Standard deviation900.62547
Coefficient of variation (CV)-1.8332998
Kurtosis0.24148907
Mean-491.25925
Median Absolute Deviation (MAD)0
Skewness-1.4359432
Sum-12570833
Variance811126.25
MonotonicityNot monotonic
2025-05-05T17:41:40.604128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18467
70.5%
-1 89
 
0.3%
-2221 31
 
0.1%
-2195 27
 
0.1%
-2215 26
 
0.1%
-2253 24
 
0.1%
-2238 24
 
0.1%
-2245 24
 
0.1%
-2231 23
 
0.1%
-2207 23
 
0.1%
Other values (1947) 6831
 
26.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-5221 1
< 0.1%
-4303 1
< 0.1%
-4293 1
< 0.1%
-4115 1
< 0.1%
-4021 1
< 0.1%
-3948 1
< 0.1%
-3522 1
< 0.1%
-3386 1
< 0.1%
-3364 1
< 0.1%
-3287 1
< 0.1%
ValueCountFrequency (%)
0 18467
70.5%
-1 89
 
0.3%
-4 3
 
< 0.1%
-5 2
 
< 0.1%
-6 2
 
< 0.1%
-7 1
 
< 0.1%
-9 1
 
< 0.1%
-13 3
 
< 0.1%
-14 3
 
< 0.1%
-15 1
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct8833
Distinct (%)34.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean96645.2
Minimum-58
Maximum508401
Zeros16465
Zeros (%)62.8%
Negative5
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:41:40.680963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-58
5-th percentile0
Q10
median0
Q3162001
95-th percentile471328.4
Maximum508401
Range508459
Interquartile range (IQR)162001

Descriptive statistics

Standard deviation156337.83
Coefficient of variation (CV)1.6176471
Kurtosis0.59249021
Mean96645.2
Median Absolute Deviation (MAD)0
Skewness1.4141777
Sum2.473054 × 109
Variance2.4441517 × 1010
MonotonicityNot monotonic
2025-05-05T17:41:40.762219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16465
62.8%
1 37
 
0.1%
500076 9
 
< 0.1%
500064 7
 
< 0.1%
500065 7
 
< 0.1%
500073 6
 
< 0.1%
500083 6
 
< 0.1%
500066 6
 
< 0.1%
500053 5
 
< 0.1%
500043 5
 
< 0.1%
Other values (8823) 9036
34.5%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-58 1
 
< 0.1%
-54 2
 
< 0.1%
-40 1
 
< 0.1%
-17 1
 
< 0.1%
0 16465
62.8%
1 37
 
0.1%
113 1
 
< 0.1%
247 1
 
< 0.1%
280 1
 
< 0.1%
346 1
 
< 0.1%
ValueCountFrequency (%)
508401 2
< 0.1%
508400 1
< 0.1%
508390 1
< 0.1%
508248 1
< 0.1%
500172 1
< 0.1%
500167 1
< 0.1%
500137 1
< 0.1%
500134 1
< 0.1%
500131 1
< 0.1%
500120 2
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct11605
Distinct (%)45.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean17328.936
Minimum-1461
Maximum142654
Zeros12871
Zeros (%)49.1%
Negative220
Negative (%)0.8%
Memory size1.4 MiB
2025-05-05T17:41:40.840462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1461
5-th percentile0
Q10
median0
Q327934
95-th percentile77593.2
Maximum142654
Range144115
Interquartile range (IQR)27934

Descriptive statistics

Standard deviation26577.834
Coefficient of variation (CV)1.5337257
Kurtosis2.0990133
Mean17328.936
Median Absolute Deviation (MAD)0
Skewness1.6644102
Sum4.4343014 × 108
Variance7.0638128 × 108
MonotonicityNot monotonic
2025-05-05T17:41:40.919158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12871
49.1%
1 74
 
0.3%
-1 8
 
< 0.1%
16793 4
 
< 0.1%
-91 4
 
< 0.1%
7846 4
 
< 0.1%
9033 4
 
< 0.1%
3233 3
 
< 0.1%
1123 3
 
< 0.1%
95 3
 
< 0.1%
Other values (11595) 12611
48.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-1461 1
< 0.1%
-1314 1
< 0.1%
-1299 1
< 0.1%
-1298 1
< 0.1%
-1194 1
< 0.1%
-1161 1
< 0.1%
-1141 1
< 0.1%
-1128 1
< 0.1%
-1044 1
< 0.1%
-1034 1
< 0.1%
ValueCountFrequency (%)
142654 1
< 0.1%
138609 1
< 0.1%
138072 1
< 0.1%
136406 1
< 0.1%
135465 1
< 0.1%
135157 1
< 0.1%
133950 1
< 0.1%
133178 1
< 0.1%
132701 1
< 0.1%
132551 1
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation  Missing 

Distinct20451
Distinct (%)79.9%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean113482.88
Minimum-5221
Maximum508401
Zeros3
Zeros (%)< 0.1%
Negative5256
Negative (%)20.1%
Memory size1.4 MiB
2025-05-05T17:41:41.000753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5221
5-th percentile-2368
Q15534
median44141
Q3163257
95-th percentile471328.4
Maximum508401
Range513622
Interquartile range (IQR)157723

Descriptive statistics

Standard deviation148388.21
Coefficient of variation (CV)1.3075824
Kurtosis0.66834039
Mean113482.88
Median Absolute Deviation (MAD)46336
Skewness1.3859078
Sum2.9039133 × 109
Variance2.2019061 × 1010
MonotonicityNot monotonic
2025-05-05T17:41:41.081589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2221 31
 
0.1%
-2195 27
 
0.1%
-2215 26
 
0.1%
-2238 24
 
0.1%
-2253 24
 
0.1%
-2258 24
 
0.1%
-2245 23
 
0.1%
-2228 23
 
0.1%
-2240 23
 
0.1%
-2226 23
 
0.1%
Other values (20441) 25341
96.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-5221 1
< 0.1%
-4303 1
< 0.1%
-4293 1
< 0.1%
-4115 1
< 0.1%
-4021 1
< 0.1%
-3948 1
< 0.1%
-3522 1
< 0.1%
-3386 1
< 0.1%
-3364 1
< 0.1%
-3287 1
< 0.1%
ValueCountFrequency (%)
508401 2
< 0.1%
508400 1
< 0.1%
508390 1
< 0.1%
508248 1
< 0.1%
500172 1
< 0.1%
500167 1
< 0.1%
500137 1
< 0.1%
500134 1
< 0.1%
500131 1
< 0.1%
500120 2
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2536
Distinct (%)9.9%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean-431.54813
Minimum-4247
Maximum1871
Zeros18491
Zeros (%)70.6%
Negative5645
Negative (%)21.5%
Memory size1.4 MiB
2025-05-05T17:41:41.159345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4247
5-th percentile-2444
Q10
median0
Q30
95-th percentile61
Maximum1871
Range6118
Interquartile range (IQR)0

Descriptive statistics

Standard deviation933.26883
Coefficient of variation (CV)-2.1626066
Kurtosis0.74835524
Mean-431.54813
Median Absolute Deviation (MAD)0
Skewness-1.5448929
Sum-11042885
Variance870990.71
MonotonicityNot monotonic
2025-05-05T17:41:41.237059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18491
70.6%
1 50
 
0.2%
-1 47
 
0.2%
-2245 23
 
0.1%
-2215 20
 
0.1%
-2330 20
 
0.1%
-2328 19
 
0.1%
-2223 19
 
0.1%
-2288 19
 
0.1%
-2276 18
 
0.1%
Other values (2526) 6863
 
26.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-4247 1
< 0.1%
-4239 1
< 0.1%
-3835 1
< 0.1%
-3766 1
< 0.1%
-3625 1
< 0.1%
-3617 1
< 0.1%
-3568 1
< 0.1%
-3555 1
< 0.1%
-3478 1
< 0.1%
-3472 1
< 0.1%
ValueCountFrequency (%)
1871 1
< 0.1%
1698 1
< 0.1%
1603 1
< 0.1%
1585 1
< 0.1%
1557 1
< 0.1%
1491 1
< 0.1%
1485 1
< 0.1%
1483 1
< 0.1%
1473 1
< 0.1%
1443 1
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct188
Distinct (%)0.7%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2.2452226
Minimum-118
Maximum288
Zeros21789
Zeros (%)83.1%
Negative88
Negative (%)0.3%
Memory size1.4 MiB
2025-05-05T17:41:41.314402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-118
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum288
Range406
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.436989
Coefficient of variation (CV)6.8754826
Kurtosis70.097811
Mean2.2452226
Median Absolute Deviation (MAD)0
Skewness7.904372
Sum57453
Variance238.30062
MonotonicityNot monotonic
2025-05-05T17:41:41.395836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21789
83.1%
1 2549
 
9.7%
2 453
 
1.7%
3 98
 
0.4%
-1 45
 
0.2%
4 20
 
0.1%
93 13
 
< 0.1%
106 12
 
< 0.1%
91 12
 
< 0.1%
80 12
 
< 0.1%
Other values (178) 586
 
2.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-118 1
< 0.1%
-57 2
< 0.1%
-53 1
< 0.1%
-51 1
< 0.1%
-48 1
< 0.1%
-47 1
< 0.1%
-46 2
< 0.1%
-45 2
< 0.1%
-43 1
< 0.1%
-37 2
< 0.1%
ValueCountFrequency (%)
288 1
< 0.1%
262 1
< 0.1%
226 1
< 0.1%
220 1
< 0.1%
217 1
< 0.1%
215 1
< 0.1%
202 2
< 0.1%
189 1
< 0.1%
188 1
< 0.1%
182 1
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct622
Distinct (%)2.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean17.485169
Minimum-858
Maximum907
Zeros22893
Zeros (%)87.4%
Negative160
Negative (%)0.6%
Memory size1.4 MiB
2025-05-05T17:41:41.473155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-858
5-th percentile0
Q10
median0
Q30
95-th percentile133
Maximum907
Range1765
Interquartile range (IQR)0

Descriptive statistics

Standard deviation73.949538
Coefficient of variation (CV)4.2292721
Kurtosis31.052855
Mean17.485169
Median Absolute Deviation (MAD)0
Skewness4.6722709
Sum447428
Variance5468.5342
MonotonicityNot monotonic
2025-05-05T17:41:41.547967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22893
87.4%
1 183
 
0.7%
86 23
 
0.1%
91 19
 
0.1%
80 19
 
0.1%
105 18
 
0.1%
82 17
 
0.1%
90 17
 
0.1%
70 17
 
0.1%
103 17
 
0.1%
Other values (612) 2366
 
9.0%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-858 1
< 0.1%
-773 1
< 0.1%
-722 1
< 0.1%
-630 1
< 0.1%
-594 1
< 0.1%
-481 1
< 0.1%
-405 1
< 0.1%
-393 1
< 0.1%
-385 1
< 0.1%
-376 1
< 0.1%
ValueCountFrequency (%)
907 1
< 0.1%
893 1
< 0.1%
840 1
< 0.1%
817 1
< 0.1%
794 1
< 0.1%
792 1
< 0.1%
785 1
< 0.1%
749 1
< 0.1%
746 1
< 0.1%
737 1
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2645
Distinct (%)10.3%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean-411.81773
Minimum-4247
Maximum2079
Zeros14422
Zeros (%)55.0%
Negative5559
Negative (%)21.2%
Memory size1.4 MiB
2025-05-05T17:41:41.624556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4247
5-th percentile-2442
Q10
median0
Q30
95-th percentile217.6
Maximum2079
Range6326
Interquartile range (IQR)0

Descriptive statistics

Standard deviation940.21131
Coefficient of variation (CV)-2.2830763
Kurtosis0.80245267
Mean-411.81773
Median Absolute Deviation (MAD)0
Skewness-1.5171717
Sum-10538004
Variance883997.3
MonotonicityNot monotonic
2025-05-05T17:41:41.850348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14422
55.0%
1 2675
 
10.2%
2 454
 
1.7%
3 102
 
0.4%
-1 77
 
0.3%
-2245 24
 
0.1%
4 20
 
0.1%
-2330 20
 
0.1%
-2215 19
 
0.1%
-2288 19
 
0.1%
Other values (2635) 7757
29.6%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-4247 1
< 0.1%
-4239 1
< 0.1%
-3835 1
< 0.1%
-3766 1
< 0.1%
-3625 1
< 0.1%
-3617 1
< 0.1%
-3568 1
< 0.1%
-3555 1
< 0.1%
-3478 1
< 0.1%
-3472 1
< 0.1%
ValueCountFrequency (%)
2079 1
< 0.1%
2049 1
< 0.1%
2038 1
< 0.1%
1938 1
< 0.1%
1919 2
< 0.1%
1891 1
< 0.1%
1844 1
< 0.1%
1835 1
< 0.1%
1825 1
< 0.1%
1781 1
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation  Missing 

Distinct6154
Distinct (%)24.0%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean-165919.49
Minimum-172611
Maximum0
Zeros4
Zeros (%)< 0.1%
Negative25585
Negative (%)97.6%
Memory size1.4 MiB
2025-05-05T17:41:41.925632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-172611
5-th percentile-171908
Q1-169650
median-165355
Q3-163123
95-th percentile-160106.8
Maximum0
Range172611
Interquartile range (IQR)6527

Descriptive statistics

Standard deviation4294.5276
Coefficient of variation (CV)-0.025883202
Kurtosis346.45333
Mean-165919.49
Median Absolute Deviation (MAD)2822
Skewness8.8371705
Sum-4.2457138 × 109
Variance18442968
MonotonicityNot monotonic
2025-05-05T17:41:42.005166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-171678 386
 
1.5%
-165691 377
 
1.4%
-171734 336
 
1.3%
-163499 333
 
1.3%
-162912 328
 
1.3%
-160092 284
 
1.1%
-160037 282
 
1.1%
-162110 281
 
1.1%
-160924 266
 
1.0%
-171908 249
 
1.0%
Other values (6144) 22467
85.7%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-172611 28
0.1%
-172610 10
 
< 0.1%
-172609 1
 
< 0.1%
-172606 1
 
< 0.1%
-172604 1
 
< 0.1%
-172602 1
 
< 0.1%
-172599 1
 
< 0.1%
-172597 1
 
< 0.1%
-172594 1
 
< 0.1%
-172592 1
 
< 0.1%
ValueCountFrequency (%)
0 4
 
< 0.1%
-160025 30
 
0.1%
-160027 1
 
< 0.1%
-160029 60
 
0.2%
-160030 1
 
< 0.1%
-160033 1
 
< 0.1%
-160035 1
 
< 0.1%
-160037 282
1.1%
-160038 7
 
< 0.1%
-160039 1
 
< 0.1%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation  Missing 

Distinct9073
Distinct (%)35.5%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean24436527
Minimum0
Maximum25550260
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:42.087085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23235200
Q123670612
median24538520
Q325125094
95-th percentile25529624
Maximum25550260
Range25550260
Interquartile range (IQR)1454482

Descriptive statistics

Standard deviation833440.73
Coefficient of variation (CV)0.03410635
Kurtosis113.8003
Mean24436527
Median Absolute Deviation (MAD)672396
Skewness-4.1485025
Sum6.2530628 × 1011
Variance6.9462346 × 1011
MonotonicityNot monotonic
2025-05-05T17:41:42.166052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24837398 716
 
2.7%
25090836 711
 
2.7%
23277382 612
 
2.3%
25540880 580
 
2.2%
23521076 534
 
2.0%
23235200 495
 
1.9%
25165058 480
 
1.8%
24992196 416
 
1.6%
24422232 382
 
1.5%
24895354 376
 
1.4%
Other values (9063) 20287
77.4%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
23076680 112
0.4%
23076720 1
 
< 0.1%
23076962 1
 
< 0.1%
23077238 1
 
< 0.1%
23077536 1
 
< 0.1%
23077828 1
 
< 0.1%
23078120 1
 
< 0.1%
23078432 1
 
< 0.1%
23078748 1
 
< 0.1%
ValueCountFrequency (%)
25550260 142
0.5%
25550228 1
 
< 0.1%
25550112 1
 
< 0.1%
25550008 1
 
< 0.1%
25549886 1
 
< 0.1%
25549752 1
 
< 0.1%
25549600 1
 
< 0.1%
25549432 1
 
< 0.1%
25549238 1
 
< 0.1%
25549016 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation  Missing 

Distinct12204
Distinct (%)47.7%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean3929283.1
Minimum0
Maximum4151356
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:42.242989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3738187
Q13830126
median3935832
Q34025526
95-th percentile4119597
Maximum4151356
Range4151356
Interquartile range (IQR)195400

Descriptive statistics

Standard deviation130280.72
Coefficient of variation (CV)0.033156359
Kurtosis127.76442
Mean3929283.1
Median Absolute Deviation (MAD)99338
Skewness-4.3145114
Sum1.0054642 × 1011
Variance1.6973066 × 1010
MonotonicityNot monotonic
2025-05-05T17:41:42.321362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3955694 399
 
1.5%
3786555 311
 
1.2%
3923012 281
 
1.1%
4020683 259
 
1.0%
3862794 253
 
1.0%
3906424 219
 
0.8%
3868764 214
 
0.8%
4119597 210
 
0.8%
3802459 203
 
0.8%
4075303 188
 
0.7%
Other values (12194) 23052
88.0%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4
< 0.1%
3707836 1
 
< 0.1%
3707845 1
 
< 0.1%
3707857 1
 
< 0.1%
3707872 1
 
< 0.1%
3707891 1
 
< 0.1%
3707896 1
 
< 0.1%
3707911 1
 
< 0.1%
3707931 1
 
< 0.1%
3707955 1
 
< 0.1%
ValueCountFrequency (%)
4151356 1
< 0.1%
4151331 1
< 0.1%
4151301 1
< 0.1%
4151267 1
< 0.1%
4151226 1
< 0.1%
4151180 1
< 0.1%
4151126 1
< 0.1%
4151070 1
< 0.1%
4151008 1
< 0.1%
4150948 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation  Missing 

Distinct22352
Distinct (%)87.4%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean28199891
Minimum0
Maximum29529006
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:42.398874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26813198
Q127337614
median28308996
Q328980916
95-th percentile29477314
Maximum29529006
Range29529006
Interquartile range (IQR)1643302

Descriptive statistics

Standard deviation958558.6
Coefficient of variation (CV)0.033991572
Kurtosis115.38319
Mean28199891
Median Absolute Deviation (MAD)774126
Skewness-4.1680945
Sum7.21607 × 1011
Variance9.1883459 × 1011
MonotonicityNot monotonic
2025-05-05T17:41:42.478576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28942704 19
 
0.1%
28146312 18
 
0.1%
28146316 11
 
< 0.1%
28166332 11
 
< 0.1%
28636396 11
 
< 0.1%
28636372 10
 
< 0.1%
28942400 10
 
< 0.1%
28704296 9
 
< 0.1%
28705664 9
 
< 0.1%
28942404 9
 
< 0.1%
Other values (22342) 25472
97.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4
< 0.1%
26624492 1
 
< 0.1%
26624500 1
 
< 0.1%
26624512 1
 
< 0.1%
26624528 1
 
< 0.1%
26624548 1
 
< 0.1%
26624552 1
 
< 0.1%
26624568 1
 
< 0.1%
26624588 1
 
< 0.1%
26624612 1
 
< 0.1%
ValueCountFrequency (%)
29529006 1
< 0.1%
29528980 1
< 0.1%
29528952 1
< 0.1%
29528916 1
< 0.1%
29528876 1
< 0.1%
29528830 1
< 0.1%
29528776 1
< 0.1%
29528720 1
< 0.1%
29528656 1
< 0.1%
29528598 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation  Missing 

Distinct5158
Distinct (%)20.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean-132286.13
Minimum-138206
Maximum0
Zeros4
Zeros (%)< 0.1%
Negative25585
Negative (%)97.6%
Memory size1.4 MiB
2025-05-05T17:41:42.552431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-138206
5-th percentile-137599
Q1-135505
median-131680
Q3-129903
95-th percentile-127203.8
Maximum0
Range138206
Interquartile range (IQR)5602

Descriptive statistics

Standard deviation3673.4546
Coefficient of variation (CV)-0.027769008
Kurtosis261.13873
Mean-132286.13
Median Absolute Deviation (MAD)2349
Skewness7.0893809
Sum-3.3850698 × 109
Variance13494269
MonotonicityNot monotonic
2025-05-05T17:41:42.629729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-129043 705
 
2.7%
-131976 501
 
1.9%
-137391 404
 
1.5%
-130179 402
 
1.5%
-129727 329
 
1.3%
-129906 300
 
1.1%
-130178 299
 
1.1%
-127159 288
 
1.1%
-127192 284
 
1.1%
-133569 282
 
1.1%
Other values (5148) 21795
83.2%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-138206 38
0.1%
-138205 1
 
< 0.1%
-138202 1
 
< 0.1%
-138199 1
 
< 0.1%
-138196 1
 
< 0.1%
-138194 1
 
< 0.1%
-138191 1
 
< 0.1%
-138188 1
 
< 0.1%
-138185 1
 
< 0.1%
-138182 1
 
< 0.1%
ValueCountFrequency (%)
0 4
 
< 0.1%
-127149 30
 
0.1%
-127151 1
 
< 0.1%
-127152 61
 
0.2%
-127155 1
 
< 0.1%
-127157 3
 
< 0.1%
-127158 1
 
< 0.1%
-127159 288
1.1%
-127160 1
 
< 0.1%
-127161 116
0.4%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation  Missing 

Distinct58
Distinct (%)0.2%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean473.35847
Minimum0
Maximum501
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:42.709392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile449
Q1458
median475
Q3487
95-th percentile500
Maximum501
Range501
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.332353
Coefficient of variation (CV)0.036615702
Kurtosis85.418019
Mean473.35847
Median Absolute Deviation (MAD)13
Skewness-3.2208679
Sum12112770
Variance300.41045
MonotonicityNot monotonic
2025-05-05T17:41:42.787706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451 1447
 
5.5%
501 1141
 
4.4%
453 979
 
3.7%
480 971
 
3.7%
472 930
 
3.5%
486 861
 
3.3%
487 847
 
3.2%
479 788
 
3.0%
449 771
 
2.9%
471 770
 
2.9%
Other values (48) 16084
61.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
445 243
 
0.9%
446 98
 
0.4%
447 395
 
1.5%
448 269
 
1.0%
449 771
2.9%
450 545
 
2.1%
451 1447
5.5%
452 259
 
1.0%
453 979
3.7%
ValueCountFrequency (%)
501 1141
4.4%
500 327
 
1.2%
499 281
 
1.1%
498 278
 
1.1%
497 305
 
1.2%
496 89
 
0.3%
495 391
 
1.5%
494 612
2.3%
493 104
 
0.4%
492 190
 
0.7%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation  Missing 

Distinct450
Distinct (%)1.8%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean4683.5253
Minimum0
Maximum4936
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:42.866132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4498
Q14577
median4669
Q34792
95-th percentile4898
Maximum4936
Range4936
Interquartile range (IQR)215

Descriptive statistics

Standard deviation142.6464
Coefficient of variation (CV)0.030457058
Kurtosis180.02473
Mean4683.5253
Median Absolute Deviation (MAD)105
Skewness-5.2994036
Sum1.1984673 × 108
Variance20347.996
MonotonicityNot monotonic
2025-05-05T17:41:42.945467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4540 514
 
2.0%
4682 511
 
1.9%
4604 497
 
1.9%
4723 374
 
1.4%
4526 348
 
1.3%
4657 345
 
1.3%
4616 339
 
1.3%
4633 332
 
1.3%
4750 319
 
1.2%
4775 306
 
1.2%
Other values (440) 21704
82.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 4
 
< 0.1%
4488 31
 
0.1%
4489 236
0.9%
4490 116
0.4%
4491 123
0.5%
4492 178
0.7%
4493 155
0.6%
4494 116
0.4%
4495 15
 
0.1%
4496 2
 
< 0.1%
ValueCountFrequency (%)
4936 27
 
0.1%
4935 34
 
0.1%
4934 2
 
< 0.1%
4933 3
 
< 0.1%
4932 4
 
< 0.1%
4931 7
 
< 0.1%
4930 5
 
< 0.1%
4929 151
0.6%
4928 230
0.9%
4927 15
 
0.1%

Total reactive power [var]
Real number (ℝ)

High correlation  Missing 

Distinct5023
Distinct (%)19.6%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean-127128.58
Minimum-132769
Maximum0
Zeros4
Zeros (%)< 0.1%
Negative25585
Negative (%)97.6%
Memory size1.4 MiB
2025-05-05T17:41:43.021320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-132769
5-th percentile-132201
Q1-130227
median-126535
Q3-124862
95-th percentile-122255.8
Maximum0
Range132769
Interquartile range (IQR)5365

Descriptive statistics

Standard deviation3514.3901
Coefficient of variation (CV)-0.027644376
Kurtosis265.90682
Mean-127128.58
Median Absolute Deviation (MAD)2229
Skewness7.1886169
Sum-3.2530932 × 109
Variance12350938
MonotonicityNot monotonic
2025-05-05T17:41:43.100450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-126815 547
 
2.1%
-125111 514
 
2.0%
-124050 506
 
1.9%
-128715 327
 
1.2%
-124700 324
 
1.2%
-125255 320
 
1.2%
-124051 297
 
1.1%
-122229 276
 
1.1%
-123009 265
 
1.0%
-123800 263
 
1.0%
Other values (5013) 21950
83.8%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-132769 11
< 0.1%
-132768 27
0.1%
-132767 1
 
< 0.1%
-132764 1
 
< 0.1%
-132762 1
 
< 0.1%
-132759 1
 
< 0.1%
-132756 1
 
< 0.1%
-132753 1
 
< 0.1%
-132750 1
 
< 0.1%
-132747 3
 
< 0.1%
ValueCountFrequency (%)
0 4
 
< 0.1%
-122215 30
 
0.1%
-122216 1
 
< 0.1%
-122218 61
 
0.2%
-122219 2
 
< 0.1%
-122220 2
 
< 0.1%
-122221 9
 
< 0.1%
-122222 50
 
0.2%
-122223 177
0.7%
-122224 171
0.7%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct15
Distinct (%)0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean6.5134237
Minimum0
Maximum900
Zeros24769
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:43.163491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum900
Range900
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.215242
Coefficient of variation (CV)5.8671513
Kurtosis80.083664
Mean6.5134237
Median Absolute Deviation (MAD)0
Skewness7.2802314
Sum166672
Variance1460.4047
MonotonicityNot monotonic
2025-05-05T17:41:43.214368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 24769
94.5%
224 295
 
1.1%
144 201
 
0.8%
220 132
 
0.5%
222 94
 
0.4%
49 36
 
0.1%
309 19
 
0.1%
276 10
 
< 0.1%
356 9
 
< 0.1%
165 8
 
< 0.1%
Other values (5) 16
 
0.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 24769
94.5%
49 36
 
0.1%
144 201
 
0.8%
165 8
 
< 0.1%
181 6
 
< 0.1%
220 132
 
0.5%
222 94
 
0.4%
223 1
 
< 0.1%
224 295
 
1.1%
275 4
 
< 0.1%
ValueCountFrequency (%)
900 1
 
< 0.1%
878 4
 
< 0.1%
356 9
 
< 0.1%
309 19
 
0.1%
276 10
 
< 0.1%
275 4
 
< 0.1%
224 295
1.1%
223 1
 
< 0.1%
222 94
 
0.4%
220 132
0.5%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2.0484583
Minimum0
Maximum251
Zeros25339
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-05T17:41:43.265689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum251
Range251
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.401744
Coefficient of variation (CV)10.935904
Kurtosis118.39282
Mean2.0484583
Median Absolute Deviation (MAD)0
Skewness10.961375
Sum52418
Variance501.83812
MonotonicityNot monotonic
2025-05-05T17:41:43.316988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 25339
96.7%
251 201
 
0.8%
10 36
 
0.1%
20 4
 
< 0.1%
198 2
 
< 0.1%
196 1
 
< 0.1%
213 1
 
< 0.1%
197 1
 
< 0.1%
157 1
 
< 0.1%
81 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
0 25339
96.7%
10 36
 
0.1%
20 4
 
< 0.1%
81 1
 
< 0.1%
86 1
 
< 0.1%
157 1
 
< 0.1%
196 1
 
< 0.1%
197 1
 
< 0.1%
198 2
 
< 0.1%
201 1
 
< 0.1%
ValueCountFrequency (%)
251 201
0.8%
213 1
 
< 0.1%
201 1
 
< 0.1%
198 2
 
< 0.1%
197 1
 
< 0.1%
196 1
 
< 0.1%
157 1
 
< 0.1%
86 1
 
< 0.1%
81 1
 
< 0.1%
20 4
 
< 0.1%

First Alarm parameter 2 in 10 min frame
Real number (ℝ)

High correlation  Missing  Skewed  Zeros 

Distinct10
Distinct (%)< 0.1%
Missing619
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.083629685
Minimum-210
Maximum431
Zeros25576
Zeros (%)97.6%
Negative1
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-05T17:41:43.366038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-210
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum431
Range641
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.3737555
Coefficient of variation (CV)64.256556
Kurtosis3960.4992
Mean0.083629685
Median Absolute Deviation (MAD)0
Skewness55.736921
Sum2140
Variance28.877248
MonotonicityNot monotonic
2025-05-05T17:41:43.564083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 25576
97.6%
22 4
 
< 0.1%
240 2
 
< 0.1%
231 1
 
< 0.1%
-210 1
 
< 0.1%
219 1
 
< 0.1%
431 1
 
< 0.1%
215 1
 
< 0.1%
275 1
 
< 0.1%
411 1
 
< 0.1%
(Missing) 619
 
2.4%
ValueCountFrequency (%)
-210 1
 
< 0.1%
0 25576
97.6%
22 4
 
< 0.1%
215 1
 
< 0.1%
219 1
 
< 0.1%
231 1
 
< 0.1%
240 2
 
< 0.1%
275 1
 
< 0.1%
411 1
 
< 0.1%
431 1
 
< 0.1%
ValueCountFrequency (%)
431 1
 
< 0.1%
411 1
 
< 0.1%
275 1
 
< 0.1%
240 2
 
< 0.1%
231 1
 
< 0.1%
219 1
 
< 0.1%
215 1
 
< 0.1%
22 4
 
< 0.1%
0 25576
97.6%
-210 1
 
< 0.1%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
25589 
True
 
619
ValueCountFrequency (%)
False 25589
97.6%
True 619
 
2.4%
2025-05-05T17:41:43.603836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-05T17:41:43.749312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.0000.0670.000-0.575-0.328-0.0630.0790.0760.0960.036-1.000-0.316-0.026-0.025-0.0350.017-0.760-0.718-0.5430.025-0.362-0.164-0.0060.0040.0670.0790.0880.0910.1070.066-0.052-1.000-1.000-0.328-0.273-0.2760.0140.0180.0160.0880.0810.098-0.018-0.350-0.369-0.0750.0850.0960.0920.0950.0000.0890.0800.1160.0490.1070.0910.1230.0490.022-0.0120.093-0.072-0.500-0.476-0.468-0.158-0.076-0.092-1.000-1.000-0.503-0.153-0.199-0.170-0.0320.0170.078-0.0310.0130.0080.034-0.0140.0070.069-0.0200.136-0.5100.0000.0000.0740.095-0.0230.0280.013-0.0500.1070.0161.000-1.000-1.0000.0870.0800.096-0.024-1.000-0.974-0.705-0.032-1.000-1.0001.000-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.000-0.0650.0000.5750.3280.063-0.079-0.076-0.097-0.0361.0000.3150.0260.0250.035-0.0170.7590.7170.543-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0531.0001.0000.3280.2740.276-0.013-0.017-0.015-0.088-0.081-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0210.012-0.0930.0720.5000.4750.4680.1580.0760.0921.0001.0000.5040.1530.2000.1710.030-0.017-0.0780.031-0.012-0.007-0.0320.013-0.007-0.0690.021-0.1350.5100.0000.000-0.073-0.0950.023-0.028-0.0130.051-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9730.7040.0301.0001.000-1.0001.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3150.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.005-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0521.0001.0000.3280.2730.276-0.013-0.018-0.015-0.088-0.081-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.031-0.017-0.0780.031-0.013-0.008-0.0330.014-0.007-0.0690.021-0.1350.5100.0000.000-0.073-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0311.0001.000-1.0001.0001.0001.0001.000
Active power limit [W]0.067-0.065-0.0671.0000.533-0.0330.0780.0190.003-0.0000.053-0.041-0.0670.133-0.218-0.190-0.2190.076-0.074-0.0390.1080.1810.1490.135-0.1590.0030.1850.1820.1830.1890.1930.1850.221-0.065-0.0670.1820.1770.1290.1700.1710.1710.1810.1510.1900.0460.1530.1200.1570.1710.1520.1550.1530.121-0.0030.0220.0230.0830.1590.1460.1460.1340.1570.0860.114-0.132-0.007-0.008-0.0110.1260.1460.146-0.067-0.0670.0630.1630.1580.158-0.6390.4550.0810.1180.4550.4760.677-0.2190.4130.1060.0440.0350.1160.5330.5330.2230.0750.1070.1610.0290.0190.1600.1410.067-0.066-0.0670.1820.1520.1940.041-0.067-0.081-0.057-0.642-0.064-0.0670.067-0.067-0.067-0.0671.000
Active power limit source0.0000.0000.0000.5331.0000.2350.0070.0170.0000.0000.1760.0430.0000.1570.1140.1760.1760.0440.2360.2350.2350.2370.2350.2350.0000.0000.2460.2470.2480.2470.2470.2440.2500.0000.0000.2400.2380.2350.2360.2360.2360.0410.0370.1760.0000.2370.2350.2350.0370.0000.0000.0000.2350.0080.0420.0230.0160.0090.2350.0220.0000.0100.0160.0130.0300.1760.1760.1760.2350.2350.2350.0000.0000.2410.2370.2360.2370.0000.3100.0800.0290.3890.5740.2610.1880.3470.0600.0000.2440.2350.9860.9860.0000.0000.0000.0180.0000.0000.0060.0000.0000.0000.0000.0400.0360.1760.0000.0000.0000.2360.0000.0000.0000.0000.0000.0000.0001.000
Ambient Temp. Avg. [°C]-0.5750.5750.576-0.0330.2351.0000.2640.0430.0530.0500.0470.0530.5760.2590.0470.0350.0540.0020.6350.6740.8690.1630.7000.301-0.0480.0040.0940.0670.0650.0590.0160.0780.1980.5750.5760.4560.3820.4400.1200.1160.1180.0510.0490.040-0.0280.8000.7180.211-0.0370.0600.0650.0610.5770.0490.0510.0530.0210.0350.0380.0360.021-0.069-0.016-0.1080.0920.3730.3650.3850.2730.2150.2280.5760.5760.5890.3800.4070.3920.0060.0110.080-0.115-0.016-0.001-0.0080.0280.0050.014-0.053-0.2260.8640.2350.235-0.0470.091-0.105-0.0640.056-0.0200.036-0.027-0.5760.5730.5760.0500.0490.041-0.0230.5760.5990.6980.0070.5750.576-0.5790.5760.5760.5761.000
Ambient WindDir Absolute Avg. [°]-0.3280.3280.3280.0780.0070.2641.0000.022-0.062-0.055-0.078-0.0330.3280.847-0.042-0.039-0.031-0.0230.3110.3090.328-0.0140.2030.029-0.049-0.009-0.026-0.034-0.035-0.035-0.035-0.0290.0210.3280.3280.1450.1160.090-0.027-0.028-0.028-0.034-0.040-0.0270.0010.2360.192-0.003-0.019-0.046-0.042-0.0440.011-0.072-0.065-0.082-0.006-0.052-0.047-0.0630.003-0.003-0.009-0.0190.0090.2920.2910.2800.016-0.0030.0020.3280.3280.2390.0880.1120.088-0.0720.064-0.0440.0420.0470.0350.074-0.0330.051-0.0290.016-0.0400.2940.0070.007-0.013-0.0650.040-0.004-0.0170.025-0.052-0.010-0.3280.3270.328-0.030-0.039-0.0260.0020.3280.3210.294-0.0720.3280.328-0.3300.3280.3280.3281.000
Ambient WindDir Relative Avg. [°]-0.0630.0630.0630.0190.0170.0430.0221.000-0.031-0.016-0.0580.0080.0630.061-0.042-0.055-0.0220.0220.0730.0710.050-0.0120.0260.0070.0060.007-0.017-0.017-0.019-0.022-0.020-0.016-0.0060.0630.0630.0240.0140.012-0.009-0.009-0.009-0.021-0.007-0.0380.1030.0300.012-0.001-0.000-0.027-0.027-0.0280.000-0.029-0.019-0.0630.028-0.028-0.014-0.0580.0280.0210.054-0.0240.0010.0600.0570.0460.008-0.004-0.0010.0630.0630.052-0.0080.001-0.006-0.0030.017-0.0470.0620.022-0.0120.004-0.0460.010-0.0110.099-0.0040.0280.0170.0170.003-0.0600.0700.012-0.0170.041-0.0280.008-0.0630.0630.063-0.021-0.007-0.0380.0950.0630.0670.063-0.0030.0630.063-0.0630.0630.0630.0631.000
Ambient WindSpeed Avg. [m/s]0.079-0.079-0.0790.0030.0000.053-0.062-0.0311.0000.9730.9330.812-0.079-0.032-0.499-0.569-0.3980.355-0.187-0.3730.0930.8030.4990.7410.1450.0120.9240.9140.9260.9110.9020.9100.627-0.079-0.0790.7160.7480.6430.9000.9000.8990.9290.9150.8560.2920.3450.5170.8360.7060.9400.9390.9400.0090.9940.9720.8880.8000.9360.9220.8340.7870.4290.4360.266-0.2160.002-0.0190.0920.7260.8390.815-0.079-0.0790.2600.7350.7000.7400.031-0.0760.796-0.2390.0320.003-0.030-0.0440.0280.8220.200-0.2740.1920.0000.0000.6790.821-0.1170.4640.449-0.1940.9360.5110.078-0.080-0.0790.9240.9150.8570.241-0.079-0.080-0.3650.030-0.079-0.0790.078-0.079-0.079-0.0791.000
Ambient WindSpeed Max. [m/s]0.076-0.076-0.076-0.0000.0000.050-0.055-0.0160.9731.0000.8630.897-0.076-0.026-0.456-0.573-0.3270.412-0.167-0.3480.0950.7910.4960.7320.1430.0140.9040.8960.9060.8910.8780.8920.611-0.076-0.0760.7080.7450.6400.8860.8860.8850.9080.9210.7960.3420.3310.5170.8220.6670.9220.9210.9210.0150.9770.9790.8340.8330.9160.9260.7790.8170.4240.4760.198-0.1580.003-0.0130.1000.7170.8260.803-0.076-0.0760.2640.7320.6960.7360.041-0.0910.791-0.2630.013-0.004-0.039-0.0230.0130.7910.270-0.2810.2040.0000.0000.6350.818-0.1320.4490.463-0.1530.9160.5160.075-0.076-0.0750.9010.9200.7980.293-0.076-0.074-0.3360.039-0.076-0.0760.075-0.076-0.076-0.0761.000
Ambient WindSpeed Min. [m/s]0.096-0.097-0.0960.0530.1760.047-0.078-0.0580.9330.8631.0000.605-0.096-0.044-0.492-0.476-0.4740.182-0.216-0.3820.0690.7350.4410.6730.1440.0070.8530.8390.8550.8420.8380.8380.584-0.097-0.0960.6440.6680.5770.8230.8220.8220.8660.8070.8780.1360.3180.4620.7690.6770.8690.8680.8691.0000.9180.8660.9260.6410.8680.8210.8720.6340.3410.2790.343-0.297-0.017-0.0430.0570.6600.7700.747-0.096-0.0960.2090.6660.6320.670-0.010-0.0220.727-0.2130.1020.0890.011-0.0640.0880.7800.055-0.2370.1500.1760.1760.6580.753-0.1220.4030.372-0.2810.8690.4110.096-0.097-0.0960.8640.8090.8760.092-0.096-0.100-0.379-0.012-0.097-0.0960.096-0.096-0.096-0.0961.000
Ambient WindSpeed StdDev [m/s]0.036-0.036-0.036-0.0410.0430.053-0.0330.0080.8120.8970.6051.000-0.036-0.014-0.265-0.479-0.0760.549-0.090-0.2460.1010.6910.4440.6430.1370.0160.7620.7610.7630.7500.7230.7540.545-0.036-0.0360.6280.6690.5760.7610.7610.7600.7610.8330.5710.4420.2780.4820.7070.4740.7790.7780.7760.0000.8300.8810.6120.8140.7690.8270.5600.7970.3680.5370.0010.0270.005-0.0010.1010.6300.7110.694-0.036-0.0360.2520.6540.6180.6580.071-0.1260.694-0.299-0.033-0.047-0.0710.005-0.0240.6090.394-0.2850.2210.0430.0430.4470.730-0.1670.3670.459-0.0270.7690.4820.035-0.036-0.0360.7510.8300.5760.393-0.036-0.029-0.2220.070-0.036-0.0360.035-0.036-0.036-0.0361.000
Ambient ok hours [h]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3160.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0521.0001.0000.3280.2730.276-0.013-0.018-0.015-0.088-0.082-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.032-0.017-0.0780.031-0.013-0.008-0.0340.014-0.007-0.0690.021-0.1350.5100.0000.000-0.074-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0321.0001.000-1.0001.0001.0001.0001.000
Avg. direction [°]-0.3160.3150.3150.1330.1570.2590.8470.061-0.032-0.026-0.044-0.0140.3161.000-0.071-0.064-0.058-0.0100.2880.2910.3300.0150.2170.055-0.047-0.0080.0100.002-0.0000.0010.0010.0070.0730.3150.3150.1730.1450.1140.0050.0040.0040.006-0.0050.0150.0220.2500.2040.0290.012-0.012-0.009-0.0100.023-0.043-0.033-0.0550.018-0.019-0.016-0.0340.0300.0200.006-0.004-0.0090.2870.2850.2750.0440.0270.0330.3160.3160.2350.1130.1350.112-0.1140.113-0.0190.0500.1170.1040.123-0.0710.118-0.0000.029-0.0380.2960.1570.1570.024-0.0400.0460.019-0.0050.025-0.0190.012-0.3160.3140.3150.009-0.0040.0150.0160.3160.3080.275-0.1140.3150.316-0.3180.3160.3160.3161.000
Blades PitchAngle Avg. [°]-0.0260.0260.026-0.2180.1140.047-0.042-0.042-0.499-0.456-0.492-0.2650.026-0.0711.0000.8850.9260.0450.0800.228-0.043-0.424-0.250-0.3280.1670.029-0.554-0.529-0.561-0.549-0.614-0.538-0.1800.0260.026-0.326-0.346-0.257-0.494-0.494-0.493-0.583-0.517-0.576-0.370-0.192-0.104-0.454-0.718-0.565-0.566-0.5670.032-0.495-0.467-0.427-0.599-0.566-0.532-0.522-0.609-0.499-0.244-0.5130.544-0.143-0.140-0.172-0.310-0.425-0.4030.0260.026-0.211-0.298-0.336-0.3030.298-0.217-0.319-0.298-0.148-0.087-0.2970.128-0.167-0.735-0.131-0.040-0.0120.1140.114-0.744-0.207-0.394-0.542-0.0250.144-0.567-0.383-0.0260.0270.026-0.592-0.519-0.576-0.3470.0260.0280.2900.2970.0260.026-0.0250.0260.0260.0261.000
Blades PitchAngle Max. [°]-0.0250.0250.025-0.1900.1760.035-0.039-0.055-0.569-0.573-0.476-0.4790.025-0.0640.8851.0000.751-0.2300.0700.228-0.071-0.530-0.320-0.4100.1630.012-0.629-0.602-0.637-0.622-0.661-0.610-0.2710.0250.025-0.406-0.434-0.331-0.577-0.578-0.577-0.656-0.639-0.558-0.452-0.228-0.186-0.555-0.742-0.645-0.645-0.6451.000-0.572-0.587-0.410-0.762-0.642-0.652-0.496-0.775-0.549-0.371-0.4420.461-0.133-0.127-0.174-0.390-0.505-0.4840.0250.025-0.256-0.385-0.408-0.3890.262-0.179-0.372-0.274-0.101-0.031-0.2610.117-0.123-0.777-0.2880.025-0.0710.1760.176-0.749-0.292-0.401-0.562-0.1570.063-0.642-0.473-0.0250.0260.025-0.654-0.639-0.562-0.4150.0250.0220.2790.2600.0250.025-0.0240.0250.0250.0251.000
Blades PitchAngle Min. [°]-0.0350.0350.035-0.2190.1760.054-0.031-0.022-0.398-0.327-0.474-0.0760.035-0.0580.9260.7511.0000.2100.0890.211-0.022-0.343-0.191-0.2390.1660.032-0.450-0.421-0.454-0.448-0.507-0.433-0.1190.0350.035-0.239-0.250-0.174-0.389-0.389-0.388-0.476-0.366-0.552-0.150-0.162-0.048-0.371-0.709-0.456-0.458-0.4611.000-0.389-0.331-0.421-0.413-0.464-0.397-0.542-0.422-0.406-0.049-0.6320.691-0.115-0.108-0.125-0.225-0.325-0.3060.0350.035-0.136-0.203-0.238-0.2070.303-0.221-0.190-0.386-0.153-0.094-0.3020.128-0.172-0.659-0.020-0.0650.0200.1760.176-0.733-0.089-0.419-0.5080.0830.261-0.465-0.275-0.0360.0360.035-0.484-0.369-0.550-0.1340.0350.0400.2770.3030.0350.035-0.0350.0350.0350.0351.000
Blades PitchAngle StdDev [°]0.017-0.017-0.0170.0760.0440.002-0.0230.0220.3550.4120.1820.549-0.017-0.0100.045-0.2300.2101.000-0.025-0.1060.0980.4370.3140.361-0.0630.0220.4060.4250.3980.4150.3610.4030.400-0.017-0.0170.3860.4040.3330.4220.4220.4220.4050.5150.2640.2850.2220.3130.4160.2210.4180.4180.4180.0300.3670.4520.0640.4640.4020.4870.1160.4830.5170.7120.0180.122-0.025-0.0400.0080.3500.3750.373-0.017-0.0170.1210.3580.3260.360-0.0880.0080.2730.121-0.033-0.0780.084-0.028-0.0100.2320.461-0.2040.1920.0440.0440.3100.3560.1030.4500.3310.3830.4020.5630.017-0.017-0.0170.3950.5110.2690.232-0.017-0.012-0.106-0.085-0.017-0.0170.017-0.017-0.017-0.0171.000
Controller Ground Temp. Avg. [°C]-0.7600.7590.760-0.0740.2360.6350.3110.073-0.187-0.167-0.216-0.0900.7600.2880.0800.0700.089-0.0251.0000.8990.574-0.1290.3470.098-0.0690.002-0.158-0.174-0.181-0.181-0.204-0.1640.0020.7590.7600.1980.1430.235-0.124-0.129-0.126-0.177-0.161-0.192-0.0040.3500.384-0.000-0.156-0.180-0.176-0.1790.577-0.194-0.176-0.223-0.108-0.199-0.178-0.218-0.105-0.070-0.037-0.1230.0980.4000.4070.3970.090-0.0030.0180.7600.7600.5230.0720.1320.0920.0030.019-0.1600.060-0.019-0.009-0.0060.0240.006-0.1540.012-0.1250.5630.2360.236-0.146-0.1770.040-0.083-0.0560.084-0.198-0.072-0.7600.7590.760-0.176-0.161-0.1900.0040.7600.7740.8720.0050.7590.760-0.7610.7600.7600.7601.000
Controller Hub Temp. Avg. [°C]-0.7180.7170.718-0.0390.2350.6740.3090.071-0.373-0.348-0.382-0.2460.7180.2910.2280.2280.211-0.1060.8991.0000.606-0.2750.286-0.031-0.084-0.000-0.335-0.353-0.360-0.360-0.390-0.341-0.1170.7170.7180.0760.0080.126-0.295-0.301-0.298-0.357-0.337-0.363-0.0770.3320.327-0.150-0.310-0.358-0.354-0.3570.577-0.377-0.358-0.372-0.284-0.374-0.355-0.367-0.280-0.187-0.140-0.2040.1700.3910.4010.372-0.033-0.154-0.1280.7180.7180.426-0.063-0.012-0.0470.0120.026-0.2990.059-0.032-0.009-0.0150.040-0.015-0.323-0.050-0.0670.5760.2350.235-0.308-0.3090.022-0.207-0.1160.101-0.373-0.186-0.7180.7170.718-0.357-0.337-0.361-0.0530.7180.7310.9830.0140.7170.718-0.7190.7180.7180.7181.000
Controller Top Temp. Avg. [°C]-0.5430.5430.5440.1080.2350.8690.3280.0500.0930.0950.0690.1010.5440.330-0.043-0.071-0.0220.0980.5740.6061.0000.2990.8340.356-0.0350.0090.1780.1520.1470.1440.0980.1670.2930.5430.5440.5690.5130.4830.2050.2020.2040.1210.1220.1040.0380.8860.7900.2740.0550.1230.1280.1240.5770.0860.0960.0520.1060.0980.1070.0670.1110.0530.090-0.0410.0280.4130.4030.4200.3180.2640.2720.5440.5440.6620.5070.5170.510-0.0880.0490.105-0.0330.0190.0150.088-0.0120.0070.0720.035-0.2520.9510.2350.2350.0650.108-0.0330.0580.0860.0120.0980.083-0.5440.5410.5440.1200.1220.1060.0310.5440.5750.624-0.0890.5430.544-0.5460.5440.5440.5441.000
Controller VCP ChokecoilTemp. Avg. [°C]0.025-0.024-0.0240.1810.2370.163-0.014-0.0120.8030.7910.7350.691-0.0240.015-0.424-0.530-0.3430.437-0.129-0.2750.2991.0000.7030.777-0.0370.0100.8770.8670.8760.8730.8330.8810.710-0.024-0.0240.8110.8610.7180.9020.9060.9040.8340.8220.7590.2310.5200.6620.8530.6520.8430.8450.8440.5770.8050.8030.7010.7110.8390.8340.7420.7120.4190.4050.275-0.2440.024-0.0000.0980.7510.8190.807-0.024-0.0240.3980.8270.7780.826-0.1680.0920.655-0.1080.0870.0220.167-0.1070.0860.7200.230-0.3010.3990.2370.2370.6570.701-0.0220.4590.401-0.1550.8390.4920.025-0.024-0.0250.8280.8220.7620.181-0.024-0.027-0.257-0.168-0.024-0.0240.025-0.024-0.024-0.0241.000
Controller VCP Temp. Avg. [°C]-0.3620.3620.3620.1490.2350.7000.2030.0260.4990.4960.4410.4440.3620.217-0.250-0.320-0.1910.3140.3470.2860.8340.7031.0000.692-0.0450.0120.5980.5780.5730.5710.5220.5930.5760.3620.3620.8450.8230.7450.6390.6370.6380.5380.5300.4880.1380.9070.9310.6650.3850.5380.5420.5390.5770.4960.5040.4060.4620.5230.5250.4460.4570.3010.3150.125-0.1030.2880.2700.3400.6530.6450.6420.3620.3620.6920.7900.7790.792-0.1250.0720.447-0.0980.0270.0150.124-0.0260.0000.4280.148-0.3450.8840.2350.2350.4020.470-0.0610.3270.280-0.0600.5230.361-0.3620.3600.3620.5330.5300.4900.1060.3620.3800.312-0.1250.3620.362-0.3630.3620.3620.3621.000
Controller VCP WaterTemp. Avg. [°C]-0.1640.1640.1640.1350.2350.3010.0290.0070.7410.7320.6730.6430.1640.055-0.328-0.410-0.2390.3610.098-0.0310.3560.7770.6921.000-0.0340.0170.8060.7980.7940.7860.7620.8030.6660.1640.1640.8530.8550.9520.8790.8740.8760.7730.7670.7070.1940.4960.7220.9440.5190.7720.7730.7720.5770.7390.7420.6450.6520.7760.7720.6810.6440.3530.4150.137-0.0880.1620.1390.2480.9870.9660.9720.1640.1640.5420.8060.7920.819-0.1100.0720.716-0.2860.0380.0070.110-0.0480.0110.6020.174-0.3260.4720.2350.2350.5220.745-0.2110.3820.405-0.1110.7760.452-0.1650.1640.1640.7710.7670.7090.1530.1640.1690.002-0.1100.1640.164-0.1650.1640.1640.1641.000
First Alarm parameter 1 in 10 min frame-0.0060.0060.005-0.1590.000-0.048-0.0490.0060.1450.1430.1440.1370.006-0.0470.1670.1630.166-0.063-0.069-0.084-0.035-0.037-0.045-0.0341.0000.191-0.079-0.073-0.075-0.100-0.113-0.077-0.1200.0060.0050.0260.035-0.071-0.013-0.013-0.013-0.116-0.069-0.1390.020-0.070-0.018-0.051-0.106-0.091-0.095-0.0970.0370.1430.1210.132-0.076-0.090-0.075-0.111-0.074-0.082-0.031-0.0810.0780.0310.0330.020-0.028-0.047-0.0560.0060.006-0.079-0.024-0.056-0.0220.547-0.601-0.042-0.0930.0060.007-0.534-0.003-0.133-0.094-0.010-0.064-0.0640.0000.000-0.162-0.028-0.087-0.083-0.022-0.026-0.090-0.074-0.0060.0060.006-0.118-0.069-0.1400.0200.0060.011-0.0680.5350.0060.006-0.0060.0060.0060.0061.000
First Alarm parameter 2 in 10 min frame0.004-0.004-0.0040.0030.0000.004-0.0090.0070.0120.0140.0070.016-0.004-0.0080.0290.0120.0320.0220.002-0.0000.0090.0100.0120.0170.1911.0000.0080.0080.0060.0070.0020.0080.018-0.004-0.0040.0090.0090.0140.0090.0090.009-0.0030.013-0.0270.0220.0050.0210.011-0.0050.0060.0060.0060.0300.0110.014-0.0030.0090.0080.013-0.0220.014-0.0130.018-0.0220.0210.0010.0030.0030.0150.0130.014-0.004-0.004-0.0000.0120.0080.0130.103-0.0970.003-0.012-0.0150.001-0.1000.021-0.0610.0010.014-0.0040.0060.0000.000-0.0230.013-0.009-0.013-0.0080.0100.008-0.0110.004-0.004-0.004-0.0040.013-0.0270.023-0.004-0.0050.0040.108-0.004-0.0040.004-0.004-0.004-0.0041.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.067-0.067-0.0670.1850.2460.094-0.026-0.0170.9240.9040.8530.762-0.0670.010-0.554-0.629-0.4500.406-0.158-0.3350.1780.8770.5980.806-0.0790.0081.0000.9900.9950.9880.9750.9890.736-0.067-0.0670.7900.8190.7250.9620.9630.9620.9740.9510.9000.2900.4440.5980.8920.7380.9750.9760.9770.5770.9250.9170.8170.8290.9750.9610.8650.8320.4790.4800.280-0.2310.021-0.0010.1130.7850.8950.874-0.067-0.0670.3520.8150.7860.818-0.2050.1310.827-0.2120.1000.0270.205-0.1190.1010.8220.216-0.2680.2900.2460.2460.7420.847-0.1020.5170.457-0.1730.9750.5600.066-0.068-0.0670.9710.9510.9020.240-0.067-0.069-0.328-0.204-0.067-0.0670.066-0.067-0.067-0.0671.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.079-0.079-0.0790.1820.2470.067-0.034-0.0170.9140.8960.8390.761-0.0790.002-0.529-0.602-0.4210.425-0.174-0.3530.1520.8670.5780.798-0.0730.0080.9901.0000.9890.9840.9760.9900.738-0.079-0.0790.7810.8120.7150.9600.9610.9600.9660.9470.8960.2860.4200.5810.8760.7080.9640.9650.9660.5770.9150.9110.7970.8250.9650.9540.8460.8270.4940.5070.260-0.1970.008-0.0140.1020.7790.8870.866-0.079-0.0790.3400.8070.7770.810-0.1980.1250.833-0.2270.0960.0210.198-0.1190.0940.7860.224-0.2650.2680.2470.2470.7220.854-0.1230.5300.461-0.1460.9650.5780.078-0.079-0.0790.9660.9470.8970.236-0.079-0.082-0.345-0.197-0.079-0.0790.078-0.079-0.079-0.0791.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.088-0.087-0.0870.1830.2480.065-0.035-0.0190.9260.9060.8550.763-0.087-0.000-0.561-0.637-0.4540.398-0.181-0.3600.1470.8760.5730.794-0.0750.0060.9950.9891.0000.9880.9790.9890.736-0.087-0.0870.7730.8050.7060.9600.9600.9600.9730.9500.8990.2930.4150.5720.8840.7380.9760.9770.9770.5770.9270.9190.8220.8350.9750.9610.8680.8360.4710.4740.280-0.2320.009-0.0130.1020.7730.8860.865-0.087-0.0870.3350.8000.7710.803-0.1980.1260.827-0.2170.0960.0230.198-0.1170.0950.8280.212-0.2610.2600.2480.2480.7390.845-0.1010.5090.455-0.1780.9760.5510.087-0.088-0.0870.9700.9500.9010.242-0.087-0.089-0.353-0.197-0.087-0.0870.087-0.087-0.087-0.0871.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.091-0.091-0.0910.1890.2470.059-0.035-0.0220.9110.8910.8420.750-0.0910.001-0.549-0.622-0.4480.415-0.181-0.3600.1440.8730.5710.786-0.1000.0070.9880.9840.9881.0000.9760.9840.741-0.091-0.0910.7650.7990.7020.9530.9540.9530.9680.9410.9010.2690.4160.5670.8750.7360.9660.9670.9680.5770.9120.9040.8050.8200.9670.9520.8600.8240.4900.4820.290-0.234-0.000-0.0220.0920.7660.8770.857-0.091-0.0910.3270.7940.7650.796-0.2190.1430.823-0.2040.1010.0300.218-0.1180.1080.8110.217-0.2580.2590.2470.2470.7460.843-0.1020.5300.455-0.1690.9670.5690.091-0.092-0.0910.9660.9410.9030.218-0.091-0.093-0.355-0.218-0.091-0.0910.091-0.091-0.091-0.0911.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.107-0.107-0.1070.1930.2470.016-0.035-0.0200.9020.8780.8380.723-0.1070.001-0.614-0.661-0.5070.361-0.204-0.3900.0980.8330.5220.762-0.1130.0020.9750.9760.9790.9761.0000.9750.709-0.107-0.1070.7310.7650.6730.9380.9390.9380.9670.9320.9120.2780.3690.5080.8490.7380.9580.9600.9610.5770.9010.8920.7980.8340.9600.9420.8590.8370.5000.4820.298-0.2420.003-0.0180.0950.7440.8600.838-0.107-0.1070.3200.7620.7420.765-0.2310.1560.831-0.2070.1050.0360.230-0.1180.1110.8130.203-0.2260.2020.2470.2470.7530.831-0.1020.5390.428-0.1660.9600.5660.107-0.108-0.1070.9690.9330.9130.229-0.107-0.110-0.391-0.230-0.107-0.1070.107-0.107-0.107-0.1071.000
Gear Oil TemperatureBasis Avg. [°C]0.066-0.066-0.0660.1850.2440.078-0.029-0.0160.9100.8920.8380.754-0.0660.007-0.538-0.610-0.4330.403-0.164-0.3410.1670.8810.5930.803-0.0770.0080.9890.9900.9890.9840.9751.0000.748-0.066-0.0660.7910.8250.7210.9630.9640.9630.9610.9380.8920.2810.4290.5920.8800.7180.9610.9620.9620.5770.9120.9050.8020.8230.9610.9480.8520.8230.4750.4850.266-0.2130.018-0.0040.1110.7830.8880.868-0.066-0.0660.3560.8140.7840.818-0.1990.1300.827-0.2250.0950.0220.199-0.1170.0910.7980.215-0.2690.2820.2440.2440.7260.846-0.1180.5130.457-0.1660.9610.5600.066-0.067-0.0660.9600.9380.8930.232-0.066-0.069-0.332-0.198-0.066-0.0660.066-0.066-0.066-0.0661.000
Gear Oil TemperatureLevel1 Avg. [°C]-0.0520.0530.0520.2210.2500.1980.021-0.0060.6270.6110.5840.5450.0520.073-0.180-0.271-0.1190.4000.002-0.1170.2930.7100.5760.666-0.1200.0180.7360.7380.7360.7410.7090.7481.0000.0530.0520.7060.7250.6470.7150.7170.7150.6990.6910.6730.1120.4520.6250.6800.4010.6900.6920.6900.5770.6200.6270.5650.5290.6830.6810.6250.5430.2430.3490.084-0.0270.0380.0160.1090.6440.6880.6830.0520.0520.3930.7030.6680.705-0.2450.1610.639-0.2820.1150.0480.246-0.1220.1280.4500.142-0.3030.4200.2500.2500.4270.696-0.2540.2810.383-0.0840.6830.364-0.0530.0520.0530.6980.6910.6750.0600.0520.059-0.086-0.2440.0530.052-0.0530.0520.0530.0521.000
Generator 1 hours [h]-1.0001.0001.000-0.0650.0000.5750.3280.063-0.079-0.076-0.097-0.0361.0000.3150.0260.0250.035-0.0170.7590.7170.543-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0531.0001.0000.3280.2740.276-0.013-0.017-0.015-0.088-0.081-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0210.012-0.0930.0720.5000.4750.4680.1580.0760.0921.0001.0000.5040.1530.2000.1710.030-0.017-0.0780.031-0.012-0.007-0.0320.013-0.007-0.0690.021-0.1350.5100.0000.000-0.073-0.0950.023-0.028-0.0130.051-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9730.7040.0301.0001.000-1.0001.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3150.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.005-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0521.0001.0000.3280.2730.276-0.013-0.018-0.015-0.088-0.081-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.088-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.031-0.017-0.0780.031-0.013-0.008-0.0330.014-0.007-0.0690.021-0.1350.5100.0000.000-0.073-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0311.0001.000-1.0001.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]-0.3280.3280.3280.1820.2400.4560.1450.0240.7160.7080.6440.6280.3280.173-0.326-0.406-0.2390.3860.1980.0760.5690.8110.8450.8530.0260.0090.7900.7810.7730.7650.7310.7910.7060.3280.3281.0000.9710.8590.8530.8520.8530.7370.7360.6720.2170.6800.8540.8370.4980.7380.7410.7390.5780.7120.7170.6010.6230.7270.7310.6210.6250.3600.4280.122-0.0850.2670.2410.3380.8290.8400.8370.3280.3280.6300.8880.8610.896-0.1180.0420.659-0.2190.0670.0220.119-0.0770.0470.5690.206-0.3570.6600.2400.2400.5110.686-0.1570.3890.391-0.0840.7270.452-0.3280.3270.3280.7340.7370.6740.1770.3280.3310.102-0.1190.3280.328-0.3280.3280.3280.3281.000
Generator Bearing2 Temp. Avg. [°C]-0.2730.2740.2730.1770.2380.3820.1160.0140.7480.7450.6680.6690.2730.145-0.346-0.434-0.2500.4040.1430.0080.5130.8610.8230.8550.0350.0090.8190.8120.8050.7990.7650.8250.7250.2740.2730.9711.0000.8510.8840.8850.8850.7670.7700.6970.2400.6310.8260.8500.5240.7690.7720.7700.5770.7460.7520.6280.6590.7580.7630.6460.6610.3740.4470.127-0.0910.2390.2120.3150.8320.8520.8470.2730.2730.6080.9050.8710.912-0.1160.0360.689-0.2300.0690.0180.116-0.0840.0520.5950.228-0.3500.6120.2380.2380.5330.714-0.1620.4020.407-0.0870.7580.468-0.2730.2730.2730.7640.7690.6990.1960.2730.2710.036-0.1160.2730.273-0.2730.2730.2730.2731.000
Generator CoolingWater Temp. Avg. [°C]-0.2760.2760.2760.1290.2350.4400.0900.0120.6430.6400.5770.5760.2760.114-0.257-0.331-0.1740.3330.2350.1260.4830.7180.7450.952-0.0710.0140.7250.7150.7060.7020.6730.7210.6470.2760.2760.8590.8511.0000.7990.7950.7970.6870.6860.6280.1740.5850.7930.8710.4230.6860.6880.6860.5770.6400.6460.5550.5620.6790.6800.5880.5690.2710.3740.042-0.0050.2230.2020.3050.9440.9020.9180.2760.2760.6060.8150.8080.828-0.1420.0870.668-0.3080.0670.0120.140-0.0820.0800.4910.157-0.3260.6010.2350.2350.4240.693-0.2510.2930.381-0.0790.6790.378-0.2770.2750.2770.6850.6860.6290.1390.2760.2820.160-0.1400.2760.276-0.2770.2760.2760.2761.000
Generator Phase1 Temp. Avg. [°C]0.014-0.013-0.0130.1700.2360.120-0.027-0.0090.9000.8860.8230.761-0.0130.005-0.494-0.577-0.3890.422-0.124-0.2950.2050.9020.6390.879-0.0130.0090.9620.9600.9600.9530.9380.9630.715-0.013-0.0130.8530.8840.7991.0000.9990.9990.9300.9160.8560.2700.4400.6360.9340.6930.9330.9340.9340.5770.9010.8970.7840.8010.9340.9260.8190.8000.4720.4920.246-0.1940.0630.0390.1560.8650.9390.924-0.013-0.0130.4150.8430.8150.851-0.1410.0730.815-0.2340.0720.0180.141-0.0880.0560.7750.229-0.2930.3210.2360.2360.6980.837-0.1360.5070.453-0.1490.9340.5580.013-0.014-0.0130.9280.9160.8580.222-0.013-0.015-0.279-0.141-0.013-0.0130.013-0.013-0.013-0.0131.000
Generator Phase2 Temp. Avg. [°C]0.018-0.017-0.0180.1710.2360.116-0.028-0.0090.9000.8860.8220.761-0.0180.004-0.494-0.578-0.3890.422-0.129-0.3010.2020.9060.6370.874-0.0130.0090.9630.9610.9600.9540.9390.9640.717-0.017-0.0180.8520.8850.7950.9991.0000.9990.9300.9160.8560.2720.4390.6320.9300.6930.9330.9340.9340.5770.9010.8970.7830.8010.9330.9260.8180.8000.4700.4920.244-0.1930.0610.0370.1530.8600.9350.920-0.018-0.0180.4110.8440.8150.852-0.1430.0740.816-0.2340.0750.0180.144-0.0920.0610.7740.230-0.2900.3180.2360.2360.6970.837-0.1360.5050.453-0.1480.9340.5560.017-0.018-0.0180.9280.9160.8580.224-0.018-0.020-0.285-0.143-0.017-0.0180.018-0.018-0.017-0.0181.000
Generator Phase3 Temp. Avg. [°C]0.016-0.015-0.0150.1710.2360.118-0.028-0.0090.8990.8850.8220.760-0.0150.004-0.493-0.577-0.3880.422-0.126-0.2980.2040.9040.6380.876-0.0130.0090.9620.9600.9600.9530.9380.9630.715-0.015-0.0150.8530.8850.7970.9990.9991.0000.9300.9150.8550.2710.4400.6340.9320.6920.9320.9330.9330.5770.9000.8970.7830.8010.9330.9250.8180.7990.4700.4920.245-0.1930.0610.0370.1540.8630.9360.922-0.015-0.0150.4140.8440.8150.851-0.1420.0730.815-0.2340.0730.0180.142-0.0900.0580.7740.229-0.2920.3200.2360.2360.6970.836-0.1360.5050.453-0.1480.9330.5570.015-0.016-0.0150.9270.9150.8570.223-0.015-0.017-0.281-0.142-0.015-0.0150.015-0.015-0.015-0.0151.000
Generator RPM Avg. [RPM]0.088-0.088-0.0880.1810.0410.051-0.034-0.0210.9290.9080.8660.761-0.0880.006-0.583-0.656-0.4760.405-0.177-0.3570.1210.8340.5380.773-0.116-0.0030.9740.9660.9730.9680.9670.9610.699-0.088-0.0880.7370.7670.6870.9300.9300.9301.0000.9640.9230.2980.3890.5380.8710.7480.9810.9820.9830.0180.9260.9220.8160.8410.9810.9680.8720.8440.5010.4830.303-0.2460.005-0.0180.0970.7550.8760.854-0.088-0.0880.3110.7670.7430.771-0.2370.1620.822-0.1930.1200.0600.235-0.1150.1370.8230.221-0.2450.2330.0410.0410.7590.840-0.0810.5360.451-0.1640.9820.5750.087-0.089-0.0880.9950.9640.9250.244-0.088-0.089-0.355-0.236-0.088-0.0880.087-0.088-0.088-0.0881.000
Generator RPM Max. [RPM]0.081-0.081-0.0810.1510.0370.049-0.040-0.0070.9150.9210.8070.833-0.082-0.005-0.517-0.639-0.3660.515-0.161-0.3370.1220.8220.5300.767-0.0690.0130.9510.9470.9500.9410.9320.9380.691-0.081-0.0810.7360.7700.6860.9160.9160.9150.9641.0000.8410.4380.3730.5410.8520.6650.9680.9680.9670.0070.9170.9420.7500.8730.9620.9850.7840.8840.4880.5890.180-0.1180.007-0.0110.1010.7490.8640.843-0.082-0.0820.3060.7670.7390.771-0.1810.1030.818-0.2280.0860.0160.181-0.1090.1040.7760.306-0.2570.2400.0370.0370.6770.842-0.1000.4970.483-0.0490.9620.5770.081-0.082-0.0810.9590.9990.8440.383-0.082-0.081-0.328-0.179-0.081-0.0820.080-0.082-0.082-0.0821.000
Generator RPM Min. [RPM]0.098-0.098-0.0980.1900.1760.040-0.027-0.0380.8560.7960.8780.571-0.0980.015-0.576-0.558-0.5520.264-0.192-0.3630.1040.7590.4880.707-0.139-0.0270.9000.8960.8990.9010.9120.8920.673-0.098-0.0980.6720.6970.6280.8560.8560.8550.9230.8411.0000.0740.3670.4880.7920.7300.8990.9010.9041.0000.8460.8080.8330.7090.9050.8550.9100.7100.4480.3570.416-0.347-0.003-0.0300.0780.6910.8040.784-0.098-0.0980.2950.7050.6850.709-0.2650.1890.782-0.1670.1350.0790.262-0.1170.1520.7430.100-0.2180.1980.1760.1760.7660.787-0.1290.5260.378-0.2630.9050.5080.097-0.098-0.0970.9300.8440.9970.027-0.098-0.101-0.369-0.265-0.098-0.0980.097-0.098-0.098-0.0981.000
Generator RPM StdDev [RPM]-0.0180.0180.0180.0460.000-0.0280.0010.1030.2920.3420.1360.4420.0180.022-0.370-0.452-0.1500.285-0.004-0.0770.0380.2310.1380.1940.0200.0220.2900.2860.2930.2690.2780.2810.1120.0180.0180.2170.2400.1740.2700.2720.2710.2980.4380.0741.0000.0790.0850.2080.1180.3120.3100.3060.0270.2930.3610.0920.4370.2870.3680.0470.4580.1550.466-0.2080.1710.0800.0980.1060.1850.2380.2280.0180.0180.0680.1840.1950.188-0.051-0.0050.194-0.0070.029-0.0300.053-0.0730.0460.3230.307-0.0110.0430.0000.0000.1370.1430.1640.0760.1510.2210.2860.164-0.0190.0180.0180.2840.4370.0750.9810.0180.022-0.082-0.0490.0180.018-0.0190.0180.0180.0181.000
Generator SlipRing Temp. Avg. [°C]-0.3500.3500.3500.1530.2370.8000.2360.0300.3450.3310.3180.2780.3500.250-0.192-0.228-0.1620.2220.3500.3320.8860.5200.9070.496-0.0700.0050.4440.4200.4150.4160.3690.4290.4520.3500.3500.6800.6310.5850.4400.4390.4400.3890.3730.3670.0791.0000.8430.4690.2840.3880.3920.3900.5770.3390.3390.2850.3020.3680.3640.3220.3100.2060.2030.093-0.0830.2610.2460.2870.4540.4510.4520.3500.3500.5890.6520.6480.652-0.1660.1050.310-0.0420.0790.0370.165-0.0760.0790.2980.074-0.2790.8920.2370.2370.3020.327-0.0270.2290.183-0.0460.3680.243-0.3500.3480.3500.3860.3740.3680.0570.3500.3820.349-0.1650.3500.350-0.3530.3500.3500.3501.000
Grid Busbar Temp. Avg. [°C]-0.3690.3690.3690.1200.2350.7180.1920.0120.5170.5170.4620.4820.3690.204-0.104-0.186-0.0480.3130.3840.3270.7900.6620.9310.722-0.0180.0210.5980.5810.5720.5670.5080.5920.6250.3690.3690.8540.8260.7930.6360.6320.6340.5380.5410.4880.0850.8431.0000.6710.2910.5470.5510.5470.5770.5130.5210.4480.4200.5260.5300.4620.4160.1920.2830.0120.0170.2700.2520.3360.6890.6720.6740.3690.3690.6990.8190.7960.826-0.0970.0500.507-0.2540.0270.0080.096-0.0300.0070.3600.113-0.4000.8870.2350.2350.2940.556-0.2150.2180.328-0.0700.5260.299-0.3700.3670.3690.5340.5410.4900.0560.3690.3850.369-0.0970.3690.369-0.3700.3690.3690.3691.000
Grid InverterPhase1 Temp. Avg. [°C]-0.0750.0750.0750.1570.2350.211-0.003-0.0010.8360.8220.7690.7070.0750.029-0.454-0.555-0.3710.416-0.000-0.1500.2740.8530.6650.944-0.0510.0110.8920.8760.8840.8750.8490.8800.6800.0750.0750.8370.8500.8710.9340.9300.9320.8710.8520.7920.2080.4690.6711.0000.6870.8760.8770.8770.5770.8370.8320.7320.7410.8810.8690.7840.7350.4480.4180.293-0.2570.1070.0810.1910.9360.9670.9630.0750.0750.4650.7990.7800.810-0.1490.1000.712-0.1520.0650.0200.149-0.0740.0430.7620.214-0.3130.3910.2350.2350.6830.752-0.0640.4910.406-0.1580.8810.524-0.0750.0740.0750.8640.8520.7940.1590.0750.078-0.135-0.1490.0750.075-0.0750.0750.0750.0751.000
Grid Production CosPhi Avg.0.085-0.085-0.0850.1710.037-0.037-0.019-0.0000.7060.6670.6770.474-0.0850.012-0.718-0.742-0.7090.221-0.156-0.3100.0550.6520.3850.519-0.106-0.0050.7380.7080.7380.7360.7380.7180.401-0.085-0.0850.4980.5240.4230.6930.6930.6920.7480.6650.7300.1180.2840.2910.6871.0000.7540.7550.7570.0460.7060.6530.6300.6590.7630.7090.7170.6670.5230.2040.644-0.6860.0270.0090.0700.5040.6180.596-0.085-0.0850.1720.4770.4700.480-0.2170.1410.4510.2870.1070.0450.217-0.1130.1290.8300.193-0.1070.0940.0370.0370.9300.4400.3310.5760.241-0.3180.7640.4770.085-0.085-0.0850.7410.6660.7320.084-0.085-0.090-0.351-0.216-0.085-0.0850.085-0.085-0.085-0.0851.000
Grid Production CurrentPhase1 Avg. [A]0.096-0.096-0.0960.1520.0000.060-0.046-0.0270.9400.9220.8690.779-0.096-0.012-0.565-0.645-0.4560.418-0.180-0.3580.1230.8430.5380.772-0.0910.0060.9750.9640.9760.9660.9580.9610.690-0.096-0.0960.7380.7690.6860.9330.9330.9320.9810.9680.8990.3120.3880.5470.8760.7541.0000.9990.9980.0000.9420.9360.8330.8420.9860.9750.8670.8500.4640.4780.277-0.232-0.003-0.0240.0900.7530.8760.854-0.096-0.0960.3030.7760.7490.780-0.1910.1240.822-0.2020.0980.0300.192-0.1130.1190.8420.230-0.2550.2360.0000.0000.7380.846-0.0800.4970.463-0.1680.9860.5440.095-0.097-0.0960.9770.9680.9010.264-0.096-0.098-0.355-0.190-0.096-0.0960.095-0.096-0.096-0.0961.000
Grid Production CurrentPhase2 Avg. [A]0.092-0.092-0.0920.1550.0000.065-0.042-0.0270.9390.9210.8680.778-0.092-0.009-0.566-0.645-0.4580.418-0.176-0.3540.1280.8450.5420.773-0.0950.0060.9760.9650.9770.9670.9600.9620.692-0.092-0.0920.7410.7720.6880.9340.9340.9330.9820.9680.9010.3100.3920.5510.8770.7550.9991.0000.9990.0000.9410.9340.8320.8420.9870.9750.8690.8500.4650.4780.278-0.233-0.000-0.0210.0930.7540.8770.855-0.092-0.0920.3080.7800.7520.783-0.1930.1260.824-0.2020.0970.0300.193-0.1110.1180.8430.229-0.2550.2410.0000.0000.7410.847-0.0810.4980.463-0.1680.9870.5450.091-0.093-0.0920.9780.9680.9030.262-0.092-0.094-0.352-0.191-0.092-0.0920.091-0.092-0.092-0.0921.000
Grid Production CurrentPhase3 Avg. [A]0.095-0.095-0.0950.1530.0000.061-0.044-0.0280.9400.9210.8690.776-0.095-0.010-0.567-0.645-0.4610.418-0.179-0.3570.1240.8440.5390.772-0.0970.0060.9770.9660.9770.9680.9610.9620.690-0.095-0.0950.7390.7700.6860.9340.9340.9330.9830.9670.9040.3060.3900.5470.8770.7570.9980.9991.0000.0000.9420.9340.8330.8420.9880.9750.8710.8490.4690.4780.284-0.238-0.004-0.0250.0900.7530.8770.855-0.095-0.0950.3040.7770.7490.780-0.1940.1290.824-0.1980.0980.0300.194-0.1130.1190.8430.228-0.2540.2370.0000.0000.7460.847-0.0790.5030.463-0.1700.9880.5490.094-0.096-0.0950.9790.9670.9060.259-0.095-0.097-0.356-0.192-0.095-0.0950.094-0.095-0.095-0.0951.000
Grid Production Frequency Avg. [Hz]0.0000.0000.0000.1210.2350.5770.0110.0000.0090.0151.0000.0000.0000.0230.0321.0001.0000.0300.5770.5770.5770.5770.5770.5770.0370.0300.5770.5770.5770.5770.5770.5770.5770.0000.0000.5780.5770.5770.5770.5770.5770.0180.0071.0000.0270.5770.5770.5770.0460.0000.0000.0001.0000.0000.0050.0060.0000.0060.5770.0690.0000.0200.0000.0280.0001.0001.0001.0000.5770.5780.5770.0000.0000.5770.5770.5770.5770.0270.0440.0000.0000.0690.4080.0440.0000.0580.0000.0000.5770.5770.2350.2350.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0170.0061.0000.0280.0000.0000.5770.0000.0000.0000.0000.0000.0000.0001.000
Grid Production PossiblePower Avg. [W]0.089-0.089-0.089-0.0030.0080.049-0.072-0.0290.9940.9770.9180.830-0.089-0.043-0.495-0.572-0.3890.367-0.194-0.3770.0860.8050.4960.7390.1430.0110.9250.9150.9270.9120.9010.9120.620-0.089-0.0880.7120.7460.6400.9010.9010.9000.9260.9170.8460.2930.3390.5130.8370.7060.9420.9410.9420.0001.0000.9800.8870.8110.9390.9280.8320.7960.4330.4450.260-0.211-0.007-0.0270.0850.7240.8380.814-0.089-0.0890.2570.7360.7000.7400.038-0.0800.800-0.2430.025-0.002-0.037-0.0380.0210.8220.206-0.2740.1870.0080.0080.6780.825-0.1190.4670.453-0.1890.9390.5170.088-0.089-0.0880.9210.9170.8470.244-0.089-0.090-0.3680.036-0.089-0.0890.088-0.089-0.089-0.0891.000
Grid Production PossiblePower Max. [W]0.080-0.080-0.0800.0220.0420.051-0.065-0.0190.9720.9790.8660.881-0.080-0.033-0.467-0.587-0.3310.452-0.176-0.3580.0960.8030.5040.7420.1210.0140.9170.9110.9190.9040.8920.9050.627-0.080-0.0800.7170.7520.6460.8970.8970.8970.9220.9420.8080.3610.3390.5210.8320.6530.9360.9340.9340.0050.9801.0000.8270.8600.9300.9480.7800.8430.4600.5310.189-0.1350.000-0.0180.0950.7260.8370.813-0.080-0.0800.2760.7420.7060.7460.028-0.0550.801-0.2580.0360.027-0.017-0.0290.0310.7940.279-0.2830.2040.0420.0420.6390.827-0.1260.4810.474-0.1010.9300.5540.079-0.081-0.0800.9160.9410.8110.310-0.080-0.079-0.3460.026-0.080-0.0800.079-0.080-0.080-0.0801.000
Grid Production PossiblePower Min. [W]0.116-0.116-0.1160.0230.0230.053-0.082-0.0630.8880.8340.9260.612-0.116-0.055-0.427-0.410-0.4210.064-0.223-0.3720.0520.7010.4060.6450.132-0.0030.8170.7970.8220.8050.7980.8020.565-0.116-0.1160.6010.6280.5550.7840.7830.7830.8160.7500.8330.0920.2850.4480.7320.6300.8330.8320.8330.0060.8870.8271.0000.5890.8330.7770.9160.5770.1730.1510.279-0.278-0.047-0.0670.0360.6340.7380.717-0.116-0.1160.1970.6510.6150.6530.015-0.0360.743-0.3390.0730.063-0.008-0.0450.0650.746-0.025-0.2310.1400.0230.0230.5700.764-0.2410.2670.362-0.4220.8330.2730.115-0.116-0.1160.8110.7510.8320.059-0.116-0.120-0.3560.012-0.116-0.1160.115-0.116-0.116-0.1161.000
Grid Production PossiblePower StdDev [W]0.049-0.049-0.0490.0830.0160.021-0.0060.0280.8000.8330.6410.814-0.0490.018-0.599-0.762-0.4130.464-0.108-0.2840.1060.7110.4620.652-0.0760.0090.8290.8250.8350.8200.8340.8230.529-0.049-0.0490.6230.6590.5620.8010.8010.8010.8410.8730.7090.4370.3020.4200.7410.6590.8420.8420.8420.0000.8110.8600.5891.0000.8400.8850.6300.9780.5270.5760.203-0.1630.0640.0510.1500.6330.7450.721-0.049-0.0490.3590.6480.6370.652-0.1000.0640.710-0.1320.003-0.0290.097-0.032-0.0030.7530.381-0.1990.1860.0160.0160.6650.686-0.0000.5240.443-0.0340.8400.5870.049-0.050-0.0490.8400.8720.7130.388-0.049-0.046-0.289-0.098-0.049-0.0490.048-0.049-0.049-0.0491.000
Grid Production Power Avg. [W]0.107-0.107-0.1070.1590.0090.035-0.052-0.0280.9360.9160.8680.769-0.107-0.019-0.566-0.642-0.4640.402-0.199-0.3740.0980.8390.5230.776-0.0900.0080.9750.9650.9750.9670.9600.9610.683-0.107-0.1070.7270.7580.6790.9340.9330.9330.9810.9620.9050.2870.3680.5260.8810.7630.9860.9870.9880.0060.9390.9300.8330.8401.0000.9820.8860.8420.4900.4790.309-0.254-0.013-0.0350.0790.7590.8810.858-0.107-0.1070.2900.7600.7310.763-0.1920.1180.823-0.1990.0770.0220.190-0.0890.0880.8430.207-0.2460.2080.0090.0090.7630.846-0.0760.5260.463-0.1801.0000.5670.106-0.108-0.1070.9770.9630.9060.240-0.107-0.111-0.369-0.190-0.107-0.1070.106-0.107-0.107-0.1071.000
Grid Production Power Max. [W]0.091-0.091-0.0910.1460.2350.038-0.047-0.0140.9220.9260.8210.827-0.091-0.016-0.532-0.652-0.3970.487-0.178-0.3550.1070.8340.5250.772-0.0750.0130.9610.9540.9610.9520.9420.9480.681-0.091-0.0910.7310.7630.6800.9260.9260.9250.9680.9850.8550.3680.3640.5300.8690.7090.9750.9750.9750.5770.9280.9480.7770.8850.9821.0000.8220.8900.5010.5580.232-0.172-0.004-0.0240.0890.7550.8720.849-0.091-0.0910.3030.7640.7340.767-0.1720.0960.820-0.2150.0640.0070.171-0.0860.0770.8100.285-0.2560.2210.2350.2350.7140.843-0.0850.5230.481-0.0960.9820.5870.090-0.091-0.0900.9620.9850.8580.317-0.091-0.092-0.347-0.170-0.091-0.0910.090-0.091-0.091-0.0911.000
Grid Production Power Min. [W]0.123-0.123-0.1230.1460.0220.036-0.063-0.0580.8340.7790.8720.560-0.123-0.034-0.522-0.496-0.5420.116-0.218-0.3670.0670.7420.4460.681-0.111-0.0220.8650.8460.8680.8600.8590.8520.625-0.123-0.1230.6210.6460.5880.8190.8180.8180.8720.7840.9100.0470.3220.4620.7840.7170.8670.8690.8710.0690.8320.7800.9160.6300.8860.8221.0000.6150.2670.1880.409-0.416-0.048-0.0710.0320.6680.7750.754-0.123-0.1230.2370.6680.6390.669-0.1980.1390.736-0.2240.0800.0490.194-0.0650.0830.7690.004-0.2120.1640.0220.0220.7100.753-0.1670.3950.321-0.4200.8860.3500.123-0.124-0.1230.8680.7860.9110.011-0.123-0.131-0.361-0.198-0.123-0.1230.123-0.123-0.123-0.1231.000
Grid Production Power StdDev [W]0.049-0.049-0.0490.1340.0000.0210.0030.0280.7870.8170.6340.797-0.0490.030-0.609-0.775-0.4220.483-0.105-0.2800.1110.7120.4570.644-0.0740.0140.8320.8270.8360.8240.8370.8230.543-0.049-0.0490.6250.6610.5690.8000.8000.7990.8440.8840.7100.4580.3100.4160.7350.6670.8500.8500.8490.0000.7960.8430.5770.9780.8420.8900.6151.0000.5190.5780.185-0.1450.0650.0520.1480.6260.7410.720-0.049-0.0490.3490.6530.6440.657-0.1600.0890.708-0.1160.065-0.0080.160-0.1040.0880.7350.390-0.1760.1920.0000.0000.6650.6840.0180.5110.445-0.0210.8420.5780.049-0.050-0.0490.8450.8830.7130.409-0.049-0.045-0.291-0.158-0.049-0.0490.048-0.049-0.049-0.0491.000
Grid Production ReactivePower Avg. [W]0.022-0.021-0.0220.1570.010-0.069-0.0030.0210.4290.4240.3410.368-0.0220.020-0.499-0.549-0.4060.517-0.070-0.1870.0530.4190.3010.353-0.082-0.0130.4790.4940.4710.4900.5000.4750.243-0.021-0.0220.3600.3740.2710.4720.4700.4700.5010.4880.4480.1550.2060.1920.4480.5230.4640.4650.4690.0200.4330.4600.1730.5270.4900.5010.2670.5191.0000.6150.450-0.2530.0530.0390.0760.3390.4040.382-0.022-0.0220.1520.2810.2840.285-0.1710.0950.2500.3650.0130.0280.1640.018-0.0190.4810.323-0.0930.0750.0100.0100.6310.2430.3980.9240.1970.2970.4900.8910.022-0.022-0.0220.5090.4870.4480.110-0.022-0.026-0.226-0.172-0.022-0.0220.022-0.022-0.022-0.0221.000
Grid Production ReactivePower Max. [W]-0.0120.0120.0120.0860.016-0.016-0.0090.0540.4360.4760.2790.5370.0120.006-0.244-0.371-0.0490.712-0.037-0.1400.0900.4050.3150.415-0.0310.0180.4800.5070.4740.4820.4820.4850.3490.0120.0120.4280.4470.3740.4920.4920.4920.4830.5890.3570.4660.2030.2830.4180.2040.4780.4780.4780.0000.4450.5310.1510.5760.4790.5580.1880.5780.6151.000-0.1130.2600.0640.0580.1140.4060.4460.4330.0120.0120.2010.3940.3850.398-0.0660.0110.461-0.069-0.038-0.0390.0720.017-0.0520.3100.522-0.1490.1500.0160.0160.3090.451-0.0310.5440.3590.4290.4790.665-0.0120.0120.0120.4850.5870.3590.4260.0120.011-0.140-0.0640.0120.012-0.0120.0120.0120.0121.000
Grid Production ReactivePower Min. [W]0.093-0.093-0.0930.1140.013-0.108-0.019-0.0240.2660.1980.3430.001-0.093-0.004-0.513-0.442-0.6320.018-0.123-0.204-0.0410.2750.1250.137-0.081-0.0220.2800.2600.2800.2900.2980.2660.084-0.093-0.0930.1220.1270.0420.2460.2440.2450.3030.1800.416-0.2080.0930.0120.2930.6440.2770.2780.2840.0280.2600.1890.2790.2030.3090.2320.4090.1850.450-0.1131.000-0.821-0.020-0.038-0.0340.1260.1910.173-0.093-0.0930.0080.0610.0640.062-0.1500.080-0.0540.582-0.0020.0040.1350.013-0.0270.459-0.129-0.002-0.0650.0130.0130.689-0.0510.5220.548-0.085-0.2510.3100.3150.094-0.094-0.0930.3060.1830.414-0.229-0.093-0.100-0.258-0.152-0.093-0.0930.094-0.093-0.093-0.0931.000
Grid Production ReactivePower StdDev [W]-0.0720.0720.072-0.1320.0300.0920.0090.001-0.216-0.158-0.2970.0270.072-0.0090.5440.4610.6910.1220.0980.1700.028-0.244-0.103-0.0880.0780.021-0.231-0.197-0.232-0.234-0.242-0.213-0.0270.0720.072-0.085-0.091-0.005-0.194-0.193-0.193-0.246-0.118-0.3470.171-0.0830.017-0.257-0.686-0.232-0.233-0.2380.000-0.211-0.135-0.278-0.163-0.254-0.172-0.416-0.145-0.2530.260-0.8211.000-0.020-0.0070.000-0.079-0.140-0.1240.0720.0720.012-0.028-0.034-0.0280.159-0.1150.129-0.629-0.059-0.061-0.1560.020-0.039-0.4710.009-0.0250.0620.0300.030-0.7050.137-0.554-0.3910.1780.432-0.255-0.112-0.0730.0730.072-0.242-0.120-0.3480.1810.0720.0770.2260.1610.0720.072-0.0730.0720.0720.0721.000
Grid Production VoltagePhase1 Avg. [V]-0.5000.5000.500-0.0070.1760.3730.2920.0600.0020.003-0.0170.0050.5000.287-0.143-0.133-0.115-0.0250.4000.3910.4130.0240.2880.1620.0310.0010.0210.0080.009-0.0000.0030.0180.0380.5000.5000.2670.2390.2230.0630.0610.0610.0050.007-0.0030.0800.2610.2700.1070.027-0.003-0.000-0.0041.000-0.0070.000-0.0470.064-0.013-0.004-0.0480.0650.0530.064-0.020-0.0201.0000.9890.9820.1550.1160.1230.5000.5000.3810.1580.1940.165-0.006-0.003-0.0170.0700.0150.0060.008-0.0100.0060.0470.059-0.0640.3670.1760.1760.042-0.0560.0830.0490.0080.036-0.0130.045-0.5000.4990.5000.0090.007-0.0030.0790.5000.5090.375-0.0070.4990.500-0.5010.5000.5000.5001.000
Grid Production VoltagePhase2 Avg. [V]-0.4760.4750.476-0.0080.1760.3650.2910.057-0.019-0.013-0.043-0.0010.4760.285-0.140-0.127-0.108-0.0400.4070.4010.403-0.0000.2700.1390.0330.003-0.001-0.014-0.013-0.022-0.018-0.0040.0160.4750.4760.2410.2120.2020.0390.0370.037-0.018-0.011-0.0300.0980.2460.2520.0810.009-0.024-0.021-0.0251.000-0.027-0.018-0.0670.051-0.035-0.024-0.0710.0520.0390.058-0.038-0.0070.9891.0000.9820.1320.0930.1000.4760.4760.3690.1320.1700.140-0.001-0.008-0.0330.0680.0110.0040.003-0.0050.0020.0300.060-0.0540.3600.1760.1760.020-0.0760.0840.032-0.0010.040-0.0340.028-0.4760.4750.476-0.014-0.011-0.0300.0980.4760.4850.385-0.0020.4750.476-0.4760.4760.4760.4761.000
Grid Production VoltagePhase3 Avg. [V]-0.4680.4680.468-0.0110.1760.3850.2800.0460.0920.1000.0570.1010.4680.275-0.172-0.174-0.1250.0080.3970.3720.4200.0980.3400.2480.0200.0030.1130.1020.1020.0920.0950.1110.1090.4680.4680.3380.3150.3050.1560.1530.1540.0970.1010.0780.1060.2870.3360.1910.0700.0900.0930.0901.0000.0850.0950.0360.1500.0790.0890.0320.1480.0760.114-0.0340.0000.9820.9821.0000.2410.2090.2140.4680.4680.4300.2410.2770.249-0.006-0.0010.094-0.0110.0060.0020.007-0.002-0.0010.1090.078-0.0940.3990.1760.1760.0800.0540.0140.0720.0640.0220.0790.086-0.4690.4670.4690.1020.1020.0790.1010.4680.4790.363-0.0060.4670.468-0.4690.4680.4680.4681.000
Grid RotorInvPhase1 Temp. Avg. [°C]-0.1580.1580.1580.1260.2350.2730.0160.0080.7260.7170.6600.6300.1580.044-0.310-0.390-0.2250.3500.090-0.0330.3180.7510.6530.987-0.0280.0150.7850.7790.7730.7660.7440.7830.6440.1580.1580.8290.8320.9440.8650.8600.8630.7550.7490.6910.1850.4540.6890.9360.5040.7530.7540.7530.5770.7240.7260.6340.6330.7590.7550.6680.6260.3390.4060.126-0.0790.1550.1320.2411.0000.9610.9690.1580.1580.5190.7770.7650.791-0.1010.0660.709-0.2940.0380.0080.100-0.0460.0120.5840.169-0.3120.4350.2350.2350.5060.738-0.2230.3680.399-0.1100.7590.440-0.1580.1570.1580.7530.7500.6930.1450.1580.161-0.000-0.1000.1580.158-0.1580.1580.1580.1581.000
Grid RotorInvPhase2 Temp. Avg. [°C]-0.0760.0760.0760.1460.2350.215-0.003-0.0040.8390.8260.7700.7110.0760.027-0.425-0.505-0.3250.375-0.003-0.1540.2640.8190.6450.966-0.0470.0130.8950.8870.8860.8770.8600.8880.6880.0760.0760.8400.8520.9020.9390.9350.9360.8760.8640.8040.2380.4510.6720.9670.6180.8760.8770.8770.5780.8380.8370.7380.7450.8810.8720.7750.7410.4040.4460.191-0.1400.1160.0930.2090.9611.0000.9900.0760.0760.4740.8120.7950.824-0.1370.0900.785-0.2780.0610.0160.137-0.0720.0450.7040.189-0.3030.3830.2350.2350.6170.812-0.1800.4340.444-0.1420.8810.501-0.0770.0760.0760.8730.8640.8060.1940.0760.079-0.130-0.1360.0760.076-0.0770.0760.0760.0761.000
Grid RotorInvPhase3 Temp. Avg. [°C]-0.0920.0920.0930.1460.2350.2280.002-0.0010.8150.8030.7470.6940.0930.033-0.403-0.484-0.3060.3730.018-0.1280.2720.8070.6420.972-0.0560.0140.8740.8660.8650.8570.8380.8680.6830.0920.0930.8370.8470.9180.9240.9200.9220.8540.8430.7840.2280.4520.6740.9630.5960.8540.8550.8550.5770.8140.8130.7170.7210.8580.8490.7540.7200.3820.4330.173-0.1240.1230.1000.2140.9690.9901.0000.0930.0930.4800.8060.7920.819-0.1440.0960.771-0.2800.0700.0170.144-0.0840.0620.6800.185-0.3000.3930.2350.2350.5950.799-0.1880.4110.436-0.1370.8580.481-0.0930.0920.0930.8520.8440.7860.1850.0930.096-0.103-0.1440.0920.093-0.0930.0930.0930.0931.000
Grid ok hours [h]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3160.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0521.0001.0000.3280.2730.276-0.013-0.018-0.015-0.088-0.082-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.032-0.017-0.0780.031-0.013-0.008-0.0340.014-0.007-0.0690.021-0.1350.5100.0000.000-0.074-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0321.0001.000-1.0001.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3160.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0521.0001.0000.3280.2730.276-0.013-0.018-0.015-0.088-0.082-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.032-0.017-0.0780.031-0.013-0.008-0.0340.014-0.007-0.0690.021-0.1350.5100.0000.000-0.074-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0321.0001.000-1.0001.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]-0.5030.5040.5040.0630.2410.5890.2390.0520.2600.2640.2090.2520.5040.235-0.211-0.256-0.1360.1210.5230.4260.6620.3980.6920.542-0.079-0.0000.3520.3400.3350.3270.3200.3560.3930.5040.5040.6300.6080.6060.4150.4110.4140.3110.3060.2950.0680.5890.6990.4650.1720.3030.3080.3040.5770.2570.2760.1970.3590.2900.3030.2370.3490.1520.2010.0080.0120.3810.3690.4300.5190.4740.4800.5040.5041.0000.6480.7070.662-0.0730.0420.337-0.173-0.045-0.0320.0690.037-0.0670.2260.068-0.2550.6960.2410.2410.1860.309-0.1450.1590.166-0.0070.2900.194-0.5040.5020.5040.3200.3060.2970.0480.5040.5190.444-0.0730.5030.504-0.5060.5040.5040.5041.000
HVTrafo Phase1 Temp. Avg. [°C]-0.1530.1530.1530.1630.2370.3800.088-0.0080.7350.7320.6660.6540.1530.113-0.298-0.385-0.2030.3580.072-0.0630.5070.8270.7900.806-0.0240.0120.8150.8070.8000.7940.7620.8140.7030.1530.1530.8880.9050.8150.8430.8440.8440.7670.7670.7050.1840.6520.8190.7990.4770.7760.7800.7770.5770.7360.7420.6510.6480.7600.7640.6680.6530.2810.3940.061-0.0280.1580.1320.2410.7770.8120.8060.1530.1530.6481.0000.9760.996-0.1500.0670.748-0.3490.0740.0160.149-0.0910.0800.5610.176-0.3560.6040.2370.2370.4720.775-0.2770.3070.415-0.1130.7600.395-0.1530.1520.1530.7670.7670.7080.1440.1530.160-0.030-0.1490.1530.153-0.1530.1530.1530.1531.000
HVTrafo Phase2 Temp. Avg. [°C]-0.1990.2000.2000.1580.2360.4070.1120.0010.7000.6960.6320.6180.2000.135-0.336-0.408-0.2380.3260.132-0.0120.5170.7780.7790.792-0.0560.0080.7860.7770.7710.7650.7420.7840.6680.2000.2000.8610.8710.8080.8150.8150.8150.7430.7390.6850.1950.6480.7960.7800.4700.7490.7520.7490.5770.7000.7060.6150.6370.7310.7340.6390.6440.2840.3850.064-0.0340.1940.1700.2770.7650.7950.7920.2000.2000.7070.9761.0000.979-0.1680.0860.726-0.3280.0770.0190.168-0.0910.0900.5520.166-0.3260.6060.2360.2360.4670.739-0.2570.3080.381-0.1000.7320.382-0.2000.1990.2000.7450.7390.6870.1560.2000.2110.016-0.1680.1990.200-0.2000.2000.2000.2001.000
HVTrafo Phase3 Temp. Avg. [°C]-0.1700.1710.1710.1580.2370.3920.088-0.0060.7400.7360.6700.6580.1710.112-0.303-0.389-0.2070.3600.092-0.0470.5100.8260.7920.819-0.0220.0130.8180.8100.8030.7960.7650.8180.7050.1710.1710.8960.9120.8280.8510.8520.8510.7710.7710.7090.1880.6520.8260.8100.4800.7800.7830.7800.5770.7400.7460.6530.6520.7630.7670.6690.6570.2850.3980.062-0.0280.1650.1400.2490.7910.8240.8190.1710.1710.6620.9960.9791.000-0.1470.0630.750-0.3480.0720.0150.146-0.0890.0800.5650.178-0.3560.6090.2370.2370.4750.777-0.2760.3110.415-0.1100.7630.399-0.1710.1700.1710.7710.7710.7110.1470.1710.181-0.015-0.1460.1700.171-0.1710.1710.1710.1711.000
HourCounters Average AlarmActive Avg. [h]-0.0320.0300.031-0.6390.0000.006-0.072-0.0030.0310.041-0.0100.0710.032-0.1140.2980.2620.303-0.0880.0030.012-0.088-0.168-0.125-0.1100.5470.103-0.205-0.198-0.198-0.219-0.231-0.199-0.2450.0300.031-0.118-0.116-0.142-0.141-0.143-0.142-0.237-0.181-0.265-0.051-0.166-0.097-0.149-0.217-0.191-0.193-0.1940.0270.0380.0280.015-0.100-0.192-0.172-0.198-0.160-0.171-0.066-0.1500.159-0.006-0.001-0.006-0.101-0.137-0.1440.0320.032-0.073-0.150-0.168-0.1471.000-0.706-0.099-0.156-0.478-0.262-0.9770.414-0.539-0.138-0.048-0.054-0.1220.0000.000-0.296-0.085-0.140-0.176-0.035-0.024-0.193-0.154-0.0310.0310.031-0.240-0.182-0.269-0.0440.0320.0340.0431.0000.0300.032-0.0310.0320.0320.0321.000
HourCounters Average AmbientOk Avg. [h]0.017-0.017-0.0170.4550.3100.0110.0640.017-0.076-0.091-0.022-0.126-0.0170.113-0.217-0.179-0.2210.0080.0190.0260.0490.0920.0720.072-0.601-0.0970.1310.1250.1260.1430.1560.1300.161-0.017-0.0170.0420.0360.0870.0730.0740.0730.1620.1030.189-0.0050.1050.0500.1000.1410.1240.1260.1290.044-0.080-0.055-0.0360.0640.1180.0960.1390.0890.0950.0110.080-0.115-0.003-0.008-0.0010.0660.0900.096-0.017-0.0170.0420.0670.0860.063-0.7061.0000.0610.1170.7280.4930.748-0.5590.6630.1310.0230.0710.0740.3100.3100.2000.0460.1040.0960.0180.0200.1190.0850.017-0.017-0.0170.1640.1030.192-0.011-0.017-0.0240.007-0.702-0.016-0.0170.017-0.017-0.017-0.0171.000
HourCounters Average Gen1 Avg. [h]0.078-0.078-0.0780.0810.0800.080-0.044-0.0470.7960.7910.7270.694-0.078-0.019-0.319-0.372-0.1900.273-0.160-0.2990.1050.6550.4470.716-0.0420.0030.8270.8330.8270.8230.8310.8270.639-0.078-0.0780.6590.6890.6680.8150.8160.8150.8220.8180.7820.1940.3100.5070.7120.4510.8220.8240.8240.0000.8000.8010.7430.7100.8230.8200.7360.7080.2500.461-0.0540.129-0.017-0.0330.0940.7090.7850.771-0.078-0.0780.3370.7480.7260.750-0.0990.0611.000-0.6480.0480.0150.099-0.0540.0560.5670.119-0.2390.2200.0800.0800.4350.973-0.5690.2570.505-0.1350.8230.3990.077-0.077-0.0770.8260.8190.7840.161-0.078-0.079-0.265-0.098-0.078-0.0780.077-0.078-0.078-0.0781.000
HourCounters Average Gen2 Avg. [h]-0.0310.0310.0310.1180.029-0.1150.0420.062-0.239-0.263-0.213-0.2990.0310.050-0.298-0.274-0.3860.1210.0600.059-0.033-0.108-0.098-0.286-0.093-0.012-0.212-0.227-0.217-0.204-0.207-0.225-0.2820.0310.031-0.219-0.230-0.308-0.234-0.234-0.234-0.193-0.228-0.167-0.007-0.042-0.254-0.1520.287-0.202-0.202-0.1980.000-0.243-0.258-0.339-0.132-0.199-0.215-0.224-0.1160.365-0.0690.582-0.6290.0700.068-0.011-0.294-0.278-0.2800.0310.031-0.173-0.349-0.328-0.348-0.1560.117-0.6481.0000.0780.0430.159-0.0690.0880.0780.1430.145-0.1160.0290.0290.366-0.6320.9250.373-0.3010.094-0.1990.155-0.0300.0300.031-0.197-0.227-0.168-0.0090.0310.028-0.020-0.1560.0310.031-0.0300.0310.0310.0311.000
HourCounters Average GridOk Avg. [h]0.013-0.012-0.0130.4550.389-0.0160.0470.0220.0320.0130.102-0.033-0.0130.117-0.148-0.101-0.153-0.033-0.019-0.0320.0190.0870.0270.0380.006-0.0150.1000.0960.0960.1010.1050.0950.115-0.012-0.0130.0670.0690.0670.0720.0750.0730.1200.0860.1350.0290.0790.0270.0650.1070.0980.0970.0980.0690.0250.0360.0730.0030.0770.0640.0800.0650.013-0.038-0.002-0.0590.0150.0110.0060.0380.0610.070-0.013-0.013-0.0450.0740.0770.072-0.4780.7280.0480.0781.0000.6800.545-0.7660.9120.0760.0440.0540.0350.3890.3890.1170.0420.0660.0100.0080.0040.0790.0100.012-0.012-0.0130.1220.0860.1380.021-0.013-0.015-0.054-0.480-0.012-0.0130.012-0.013-0.013-0.0131.000
HourCounters Average GridOn Avg. [h]0.008-0.007-0.0080.4760.574-0.0010.035-0.0120.003-0.0040.089-0.047-0.0080.104-0.087-0.031-0.094-0.078-0.009-0.0090.0150.0220.0150.0070.0070.0010.0270.0210.0230.0300.0360.0220.048-0.007-0.0080.0220.0180.0120.0180.0180.0180.0600.0160.079-0.0300.0370.0080.0200.0450.0300.0300.0300.408-0.0020.0270.063-0.0290.0220.0070.049-0.0080.028-0.0390.004-0.0610.0060.0040.0020.0080.0160.017-0.008-0.008-0.0320.0160.0190.015-0.2620.4930.0150.0430.6801.0000.368-0.1090.6190.0540.0030.0190.0150.5740.5740.0600.0080.0320.027-0.015-0.0070.0250.0240.008-0.007-0.0080.0600.0170.083-0.033-0.008-0.009-0.018-0.269-0.007-0.0080.008-0.008-0.008-0.0081.000
HourCounters Average Run Avg. [h]0.034-0.032-0.0330.6770.261-0.0080.0740.004-0.030-0.0390.011-0.071-0.0340.123-0.297-0.261-0.3020.084-0.006-0.0150.0880.1670.1240.110-0.534-0.1000.2050.1980.1980.2180.2300.1990.246-0.032-0.0330.1190.1160.1400.1410.1440.1420.2350.1810.2620.0530.1650.0960.1490.2170.1920.1930.1940.044-0.037-0.017-0.0080.0970.1900.1710.1940.1600.1640.0720.135-0.1560.0080.0030.0070.1000.1370.144-0.034-0.0340.0690.1490.1680.146-0.9770.7480.0990.1590.5450.3681.000-0.4190.5980.1420.0490.0570.1200.2610.2610.2920.0850.1420.1700.0340.0240.1920.1490.033-0.032-0.0330.2390.1820.2660.046-0.034-0.036-0.045-0.977-0.031-0.0340.033-0.034-0.034-0.0341.000
HourCounters Average ServiceOn Avg. [h]-0.0140.0130.014-0.2190.1880.028-0.033-0.046-0.044-0.023-0.0640.0050.014-0.0710.1280.1170.128-0.0280.0240.040-0.012-0.107-0.026-0.048-0.0030.021-0.119-0.119-0.117-0.118-0.118-0.117-0.1220.0130.014-0.077-0.084-0.082-0.088-0.092-0.090-0.115-0.109-0.117-0.073-0.076-0.030-0.074-0.113-0.113-0.111-0.1130.000-0.038-0.029-0.045-0.032-0.089-0.086-0.065-0.1040.0180.0170.0130.020-0.010-0.005-0.002-0.046-0.072-0.0840.0140.0140.037-0.091-0.091-0.0890.414-0.559-0.054-0.069-0.766-0.109-0.4191.000-0.699-0.057-0.062-0.063-0.0320.1880.188-0.107-0.052-0.0630.019-0.027-0.016-0.0880.015-0.0130.0130.013-0.117-0.109-0.118-0.0640.0140.0170.0630.4110.0130.014-0.0130.0140.0140.0141.000
HourCounters Average TurbineOk Avg. [h]0.007-0.007-0.0070.4130.3470.0050.0510.0100.0280.0130.088-0.024-0.0070.118-0.167-0.123-0.172-0.0100.006-0.0150.0070.0860.0000.011-0.133-0.0610.1010.0940.0950.1080.1110.0910.128-0.007-0.0070.0470.0520.0800.0560.0610.0580.1370.1040.1520.0460.0790.0070.0430.1290.1190.1180.1190.0580.0210.0310.065-0.0030.0880.0770.0830.088-0.019-0.052-0.027-0.0390.0060.002-0.0010.0120.0450.062-0.007-0.007-0.0670.0800.0900.080-0.5390.6630.0560.0880.9120.6190.598-0.6991.0000.0670.0570.0760.0320.3470.3470.1270.0500.076-0.0240.0140.0080.090-0.0190.007-0.006-0.0070.1400.1040.1560.037-0.007-0.008-0.049-0.538-0.006-0.0070.007-0.007-0.007-0.0071.000
HourCounters Average WindOk Avg. [h]0.069-0.069-0.0690.1060.0600.014-0.029-0.0110.8220.7910.7800.609-0.069-0.000-0.735-0.777-0.6590.232-0.154-0.3230.0720.7200.4280.602-0.0940.0010.8220.7860.8280.8110.8130.7980.450-0.069-0.0690.5690.5950.4910.7750.7740.7740.8230.7760.7430.3230.2980.3600.7620.8300.8420.8430.8430.0000.8220.7940.7460.7530.8430.8100.7690.7350.4810.3100.459-0.4710.0470.0300.1090.5840.7040.680-0.069-0.0690.2260.5610.5520.565-0.1380.1310.5670.0780.0760.0540.142-0.0570.0671.0000.172-0.1550.1210.0600.0600.8040.5530.2230.5170.302-0.2380.8440.4760.069-0.070-0.0690.8120.7770.7440.284-0.069-0.073-0.346-0.138-0.069-0.0690.068-0.069-0.069-0.0691.000
HourCounters Average Yaw Avg. [h]-0.0200.0210.0210.0440.000-0.0530.0160.0990.2000.2700.0550.3940.0210.029-0.131-0.288-0.0200.4610.012-0.0500.0350.2300.1480.174-0.0100.0140.2160.2240.2120.2170.2030.2150.1420.0210.0210.2060.2280.1570.2290.2300.2290.2210.3060.1000.3070.0740.1130.2140.1930.2300.2290.2280.0000.2060.279-0.0250.3810.2070.2850.0040.3900.3230.522-0.1290.0090.0590.0600.0780.1690.1890.1850.0210.0210.0680.1760.1660.178-0.0480.0230.1190.1430.0440.0030.049-0.0620.0570.1721.000-0.0870.0760.0000.0000.2250.1230.1480.2990.1720.1990.2070.342-0.0210.0210.0210.2170.3020.1060.2730.0210.024-0.058-0.0470.0210.021-0.0210.0210.0210.0211.000
Hydraulic Oil Temp. Avg. [°C]0.136-0.135-0.1350.0350.244-0.226-0.040-0.004-0.274-0.281-0.237-0.285-0.135-0.038-0.0400.025-0.065-0.204-0.125-0.067-0.252-0.301-0.345-0.326-0.064-0.004-0.268-0.265-0.261-0.258-0.226-0.269-0.303-0.135-0.135-0.357-0.350-0.326-0.293-0.290-0.292-0.245-0.257-0.218-0.011-0.279-0.400-0.313-0.107-0.255-0.255-0.2540.577-0.274-0.283-0.231-0.199-0.246-0.256-0.212-0.176-0.093-0.149-0.002-0.025-0.064-0.054-0.094-0.312-0.303-0.300-0.135-0.135-0.255-0.356-0.326-0.356-0.0540.071-0.2390.1450.0540.0190.057-0.0630.076-0.155-0.0871.000-0.3050.2440.244-0.108-0.2810.133-0.108-0.1830.024-0.246-0.1600.136-0.135-0.135-0.242-0.257-0.2200.006-0.135-0.142-0.092-0.053-0.135-0.1350.135-0.135-0.135-0.1351.000
Nacelle Temp. Avg. [°C]-0.5100.5100.5100.1160.2350.8640.2940.0280.1920.2040.1500.2210.5100.296-0.012-0.0710.0200.1920.5630.5760.9510.3990.8840.472-0.0640.0060.2900.2680.2600.2590.2020.2820.4200.5100.5100.6600.6120.6010.3210.3180.3200.2330.2400.1980.0430.8920.8870.3910.0940.2360.2410.2370.5770.1870.2040.1400.1860.2080.2210.1640.1920.0750.150-0.0650.0620.3670.3600.3990.4350.3830.3930.5100.5100.6960.6040.6060.609-0.1220.0740.220-0.1160.0350.0150.120-0.0320.0320.1210.076-0.3051.0000.2350.2350.1010.244-0.1120.0850.1700.0060.2080.141-0.5110.5080.5100.2290.2390.2010.0280.5100.5350.609-0.1220.5100.510-0.5120.5100.5100.5101.000
Power factor set point0.0000.0000.0000.5330.9860.2350.0070.0170.0000.0000.1760.0430.0000.1570.1140.1760.1760.0440.2360.2350.2350.2370.2350.2350.0000.0000.2460.2470.2480.2470.2470.2440.2500.0000.0000.2400.2380.2350.2360.2360.2360.0410.0370.1760.0000.2370.2350.2350.0370.0000.0000.0000.2350.0080.0420.0230.0160.0090.2350.0220.0000.0100.0160.0130.0300.1760.1760.1760.2350.2350.2350.0000.0000.2410.2370.2360.2370.0000.3100.0800.0290.3890.5740.2610.1880.3470.0600.0000.2440.2351.0000.9860.0000.0000.0000.0180.0000.0000.0060.0000.0000.0000.0000.0400.0360.1760.0000.0000.0000.2360.0000.0000.0000.0000.0000.0000.0001.000
Power factor set point source0.0000.0000.0000.5330.9860.2350.0070.0170.0000.0000.1760.0430.0000.1570.1140.1760.1760.0440.2360.2350.2350.2370.2350.2350.0000.0000.2460.2470.2480.2470.2470.2440.2500.0000.0000.2400.2380.2350.2360.2360.2360.0410.0370.1760.0000.2370.2350.2350.0370.0000.0000.0000.2350.0080.0420.0230.0160.0090.2350.0220.0000.0100.0160.0130.0300.1760.1760.1760.2350.2350.2350.0000.0000.2410.2370.2360.2370.0000.3100.0800.0290.3890.5740.2610.1880.3470.0600.0000.2440.2350.9861.0000.0000.0000.0000.0180.0000.0000.0060.0000.0000.0000.0000.0400.0360.1760.0000.0000.0000.2360.0000.0000.0000.0000.0000.0000.0001.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.074-0.073-0.0730.2230.000-0.047-0.0130.0030.6790.6350.6580.447-0.0740.024-0.744-0.749-0.7330.310-0.146-0.3080.0650.6570.4020.522-0.162-0.0230.7420.7220.7390.7460.7530.7260.427-0.073-0.0730.5110.5330.4240.6980.6970.6970.7590.6770.7660.1370.3020.2940.6830.9300.7380.7410.7460.0000.6780.6390.5700.6650.7630.7140.7100.6650.6310.3090.689-0.7050.0420.0200.0800.5060.6170.595-0.074-0.0740.1860.4720.4670.475-0.2960.2000.4350.3660.1170.0600.292-0.1070.1270.8040.225-0.1080.1010.0000.0001.0000.4220.3730.6800.226-0.2230.7640.5690.073-0.074-0.0730.7560.6790.7680.100-0.074-0.081-0.355-0.295-0.073-0.0740.073-0.074-0.073-0.0741.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.095-0.095-0.0950.0750.0000.091-0.065-0.0600.8210.8180.7530.730-0.095-0.040-0.207-0.292-0.0890.356-0.177-0.3090.1080.7010.4700.745-0.0280.0130.8470.8540.8450.8430.8310.8460.696-0.095-0.0950.6860.7140.6930.8370.8370.8360.8400.8420.7870.1430.3270.5560.7520.4400.8460.8470.8470.0000.8250.8270.7640.6860.8460.8430.7530.6840.2430.451-0.0510.137-0.056-0.0760.0540.7380.8120.799-0.095-0.0950.3090.7750.7390.777-0.0850.0460.973-0.6320.0420.0080.085-0.0520.0500.5530.123-0.2810.2440.0000.0000.4221.000-0.5540.2480.540-0.1300.8460.4110.095-0.095-0.0950.8410.8420.7880.106-0.095-0.097-0.267-0.084-0.095-0.0950.095-0.095-0.095-0.0951.000
Production LatestAverage Active Power Gen 2 Avg. [W]-0.0230.0230.0230.1070.000-0.1050.0400.070-0.117-0.132-0.122-0.1670.0230.046-0.394-0.401-0.4190.1030.0400.022-0.033-0.022-0.061-0.211-0.087-0.009-0.102-0.123-0.101-0.102-0.102-0.118-0.2540.0230.023-0.157-0.162-0.251-0.136-0.136-0.136-0.081-0.100-0.1290.164-0.027-0.215-0.0640.331-0.080-0.081-0.0790.000-0.119-0.126-0.241-0.000-0.076-0.085-0.1670.0180.398-0.0310.522-0.5540.0830.0840.014-0.223-0.180-0.1880.0230.023-0.145-0.277-0.257-0.276-0.1400.104-0.5690.9250.0660.0320.142-0.0630.0760.2230.1480.133-0.1120.0000.0000.373-0.5541.0000.372-0.2150.106-0.0760.198-0.0230.0220.023-0.088-0.100-0.1300.1590.0230.020-0.053-0.1400.0230.023-0.0230.0230.0230.0231.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]0.028-0.028-0.0280.1610.018-0.064-0.0040.0120.4640.4490.4030.367-0.0280.019-0.542-0.562-0.5080.450-0.083-0.2070.0580.4590.3270.382-0.083-0.0130.5170.5300.5090.5300.5390.5130.281-0.028-0.0280.3890.4020.2930.5070.5050.5050.5360.4970.5260.0760.2290.2180.4910.5760.4970.4980.5030.0000.4670.4810.2670.5240.5260.5230.3950.5110.9240.5440.548-0.3910.0490.0320.0720.3680.4340.411-0.028-0.0280.1590.3070.3080.311-0.1760.0960.2570.3730.0100.0270.1700.019-0.0240.5170.299-0.1080.0850.0180.0180.6800.2480.3721.0000.1340.1410.5270.8450.029-0.029-0.0280.5450.4960.5260.027-0.028-0.034-0.246-0.178-0.028-0.0280.029-0.028-0.028-0.0281.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.013-0.013-0.0130.0290.0000.056-0.017-0.0170.4490.4630.3720.459-0.013-0.005-0.025-0.1570.0830.331-0.056-0.1160.0860.4010.2800.405-0.022-0.0080.4570.4610.4550.4550.4280.4570.383-0.013-0.0130.3910.4070.3810.4530.4530.4530.4510.4830.3780.1510.1830.3280.4060.2410.4630.4630.4630.0000.4530.4740.3620.4430.4630.4810.3210.4450.1970.359-0.0850.1780.008-0.0010.0640.3990.4440.436-0.013-0.0130.1660.4150.3810.415-0.0350.0180.505-0.3010.008-0.0150.034-0.0270.0140.3020.172-0.1830.1700.0000.0000.2260.540-0.2150.1341.000-0.0180.4620.5410.012-0.013-0.0130.4450.4820.3780.136-0.013-0.016-0.093-0.034-0.013-0.0130.012-0.013-0.013-0.0131.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]-0.0500.0510.0500.0190.000-0.0200.0250.041-0.194-0.153-0.281-0.0270.0500.0250.1440.0630.2610.3830.0840.1010.012-0.155-0.060-0.111-0.0260.010-0.173-0.146-0.178-0.169-0.166-0.166-0.0840.0510.050-0.084-0.087-0.079-0.149-0.148-0.148-0.164-0.049-0.2630.221-0.046-0.070-0.158-0.318-0.168-0.168-0.1700.000-0.189-0.101-0.422-0.034-0.180-0.096-0.420-0.0210.2970.429-0.2510.4320.0360.0400.022-0.110-0.142-0.1370.0500.050-0.007-0.113-0.100-0.110-0.0240.020-0.1350.0940.004-0.0070.024-0.0160.008-0.2380.1990.0240.0060.0000.000-0.223-0.1300.1060.141-0.0181.000-0.1810.284-0.0510.0500.051-0.156-0.051-0.2630.2090.0500.0550.097-0.0230.0500.050-0.0510.0500.0500.0501.000
Production LatestAverage Total Active Power Avg. [W]0.107-0.107-0.1070.1600.0060.036-0.052-0.0280.9360.9160.8690.769-0.107-0.019-0.567-0.642-0.4650.402-0.198-0.3730.0980.8390.5230.776-0.0900.0080.9750.9650.9760.9670.9600.9610.683-0.107-0.1070.7270.7580.6790.9340.9340.9330.9820.9620.9050.2860.3680.5260.8810.7640.9860.9870.9880.0050.9390.9300.8330.8401.0000.9820.8860.8420.4900.4790.310-0.255-0.013-0.0340.0790.7590.8810.858-0.107-0.1070.2900.7600.7320.763-0.1930.1190.823-0.1990.0790.0250.192-0.0880.0900.8440.207-0.2460.2080.0060.0060.7640.846-0.0760.5270.462-0.1811.0000.5670.106-0.107-0.1060.9780.9620.9070.239-0.107-0.111-0.369-0.191-0.107-0.1070.106-0.107-0.107-0.1071.000
Production LatestAverage Total Reactive Power Avg. [var]0.016-0.016-0.0160.1410.000-0.027-0.0100.0080.5110.5160.4110.482-0.0160.012-0.383-0.473-0.2750.563-0.072-0.1860.0830.4920.3610.452-0.074-0.0110.5600.5780.5510.5690.5660.5600.364-0.016-0.0160.4520.4680.3780.5580.5560.5570.5750.5770.5080.1640.2430.2990.5240.4770.5440.5450.5490.0000.5170.5540.2730.5870.5670.5870.3500.5780.8910.6650.315-0.1120.0450.0280.0860.4400.5010.481-0.016-0.0160.1940.3950.3820.399-0.1540.0850.3990.1550.0100.0240.1490.015-0.0190.4760.342-0.1600.1410.0000.0000.5690.4110.1980.8450.5410.2840.5671.0000.016-0.017-0.0160.5800.5760.5090.118-0.016-0.021-0.205-0.155-0.016-0.0160.016-0.016-0.016-0.0161.000
Reactive power generator 0,Total accumulated [var]1.000-1.000-1.0000.0670.000-0.576-0.328-0.0630.0780.0750.0960.035-1.000-0.316-0.026-0.025-0.0360.017-0.760-0.718-0.5440.025-0.362-0.165-0.0060.0040.0660.0780.0870.0910.1070.066-0.053-1.000-1.000-0.328-0.273-0.2770.0130.0170.0150.0870.0810.097-0.019-0.350-0.370-0.0750.0850.0950.0910.0940.0000.0880.0790.1150.0490.1060.0900.1230.0490.022-0.0120.094-0.073-0.500-0.476-0.469-0.158-0.077-0.093-1.000-1.000-0.504-0.153-0.200-0.171-0.0310.0170.077-0.0300.0120.0080.033-0.0130.0070.069-0.0210.136-0.5110.0000.0000.0730.095-0.0230.0290.012-0.0510.1060.0161.000-1.000-1.0000.0860.0800.096-0.024-1.000-0.974-0.705-0.031-1.000-1.0001.000-1.000-1.000-1.0001.000
Reactive power generator 1, Total accumulated [var]-1.0001.0001.000-0.0660.0000.5730.3270.063-0.080-0.076-0.097-0.0361.0000.3140.0270.0260.036-0.0170.7590.7170.541-0.0240.3600.1640.006-0.004-0.068-0.079-0.088-0.092-0.108-0.0670.0521.0001.0000.3270.2730.275-0.014-0.018-0.016-0.089-0.082-0.0980.0180.3480.3670.074-0.085-0.097-0.093-0.0960.000-0.089-0.081-0.116-0.050-0.108-0.091-0.124-0.050-0.0220.012-0.0940.0730.4990.4750.4670.1570.0760.0921.0001.0000.5020.1520.1990.1700.031-0.017-0.0770.030-0.012-0.007-0.0320.013-0.006-0.0700.021-0.1350.5080.0000.000-0.074-0.0950.022-0.029-0.0130.050-0.107-0.017-1.0001.0001.000-0.088-0.081-0.0970.0231.0000.9730.7030.0311.0001.000-0.9991.0001.0001.0001.000
Reactive power generator 2, Total accumulated [var]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.075-0.096-0.0361.0000.3150.0260.0250.035-0.0170.7600.7180.544-0.0250.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0531.0001.0000.3280.2730.277-0.013-0.018-0.015-0.088-0.081-0.0970.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.088-0.080-0.116-0.049-0.107-0.090-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4690.1580.0760.0931.0001.0000.5040.1530.2000.1710.031-0.017-0.0770.031-0.013-0.008-0.0330.013-0.007-0.0690.021-0.1350.5100.0000.000-0.073-0.0950.023-0.028-0.0130.051-0.106-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0311.0001.000-1.0001.0001.0001.0001.000
Rotor RPM Avg. [RPM]0.087-0.087-0.0870.1820.0400.050-0.030-0.0210.9240.9010.8640.751-0.0870.009-0.592-0.654-0.4840.395-0.176-0.3570.1200.8280.5330.771-0.118-0.0040.9710.9660.9700.9660.9690.9600.698-0.087-0.0870.7340.7640.6850.9280.9280.9270.9950.9590.9300.2840.3860.5340.8640.7410.9770.9780.9790.0170.9210.9160.8110.8400.9770.9620.8680.8450.5090.4850.306-0.2420.009-0.0140.1020.7530.8730.852-0.087-0.0870.3200.7670.7450.771-0.2400.1640.826-0.1970.1220.0600.239-0.1170.1400.8120.217-0.2420.2290.0400.0400.7560.841-0.0880.5450.445-0.1560.9780.5800.086-0.088-0.0871.0000.9600.9320.231-0.087-0.088-0.357-0.239-0.087-0.0870.086-0.087-0.087-0.0871.000
Rotor RPM Max. [RPM]0.080-0.080-0.0800.1520.0360.049-0.039-0.0070.9150.9200.8090.830-0.080-0.004-0.519-0.639-0.3690.511-0.161-0.3370.1220.8220.5300.767-0.0690.0130.9510.9470.9500.9410.9330.9380.691-0.080-0.0800.7370.7690.6860.9160.9160.9150.9640.9990.8440.4370.3740.5410.8520.6660.9680.9680.9670.0060.9170.9410.7510.8720.9630.9850.7860.8830.4870.5870.183-0.1200.007-0.0110.1020.7500.8640.844-0.080-0.0800.3060.7670.7390.771-0.1820.1030.819-0.2270.0860.0170.182-0.1090.1040.7770.302-0.2570.2390.0360.0360.6790.842-0.1000.4960.482-0.0510.9620.5760.080-0.081-0.0800.9601.0000.8470.384-0.080-0.080-0.328-0.180-0.080-0.0800.079-0.080-0.080-0.0801.000
Rotor RPM Min. [RPM]0.096-0.096-0.0960.1940.1760.041-0.026-0.0380.8570.7980.8760.576-0.0960.015-0.576-0.562-0.5500.269-0.190-0.3610.1060.7620.4900.709-0.140-0.0270.9020.8970.9010.9030.9130.8930.675-0.096-0.0960.6740.6990.6290.8580.8580.8570.9250.8440.9970.0750.3680.4900.7940.7320.9010.9030.9061.0000.8470.8110.8320.7130.9060.8580.9110.7130.4480.3590.414-0.348-0.003-0.0300.0790.6930.8060.786-0.096-0.0960.2970.7080.6870.711-0.2690.1920.784-0.1680.1380.0830.266-0.1180.1560.7440.106-0.2200.2010.1760.1760.7680.788-0.1300.5260.378-0.2630.9070.5090.096-0.097-0.0960.9320.8471.0000.027-0.096-0.099-0.367-0.269-0.096-0.0960.096-0.096-0.096-0.0961.000
Rotor RPM StdDev [RPM]-0.0240.0240.0240.0410.000-0.0230.0020.0950.2410.2930.0920.3930.0240.016-0.347-0.415-0.1340.2320.004-0.0530.0310.1810.1060.1530.0200.0230.2400.2360.2420.2180.2290.2320.0600.0240.0240.1770.1960.1390.2220.2240.2230.2440.3830.0270.9810.0570.0560.1590.0840.2640.2620.2590.0280.2440.3100.0590.3880.2400.3170.0110.4090.1100.426-0.2290.1810.0790.0980.1010.1450.1940.1850.0240.0240.0480.1440.1560.147-0.044-0.0110.161-0.0090.021-0.0330.046-0.0640.0370.2840.2730.0060.0280.0000.0000.1000.1060.1590.0270.1360.2090.2390.118-0.0240.0230.0240.2310.3840.0271.0000.0240.026-0.058-0.0420.0240.024-0.0250.0240.0240.0241.000
Run hours [h]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3160.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0521.0001.0000.3280.2730.276-0.013-0.018-0.015-0.088-0.082-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.032-0.017-0.0780.031-0.013-0.008-0.0340.014-0.007-0.0690.021-0.1350.5100.0000.000-0.074-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0321.0001.000-1.0001.0001.0001.0001.000
Service hours [h]-0.9740.9730.974-0.0810.0000.5990.3210.067-0.080-0.074-0.100-0.0290.9740.3080.0280.0220.040-0.0120.7740.7310.575-0.0270.3800.1690.011-0.005-0.069-0.082-0.089-0.093-0.110-0.0690.0590.9730.9740.3310.2710.282-0.015-0.020-0.017-0.089-0.081-0.1010.0220.3820.3850.078-0.090-0.098-0.094-0.0970.000-0.090-0.079-0.120-0.046-0.111-0.092-0.131-0.045-0.0260.011-0.1000.0770.5090.4850.4790.1610.0790.0960.9740.9740.5190.1600.2110.1810.034-0.024-0.0790.028-0.015-0.009-0.0360.017-0.008-0.0730.024-0.1420.5350.0000.000-0.081-0.0970.020-0.034-0.0160.055-0.111-0.021-0.9740.9730.974-0.088-0.080-0.0990.0260.9741.0000.7180.0340.9730.974-0.9740.9740.9740.9741.000
Spinner Temp. Avg. [°C]-0.7050.7040.705-0.0570.2360.6980.2940.063-0.365-0.336-0.379-0.2220.7050.2750.2900.2790.277-0.1060.8720.9830.624-0.2570.3120.002-0.0680.004-0.328-0.345-0.353-0.355-0.391-0.332-0.0860.7040.7050.1020.0360.160-0.279-0.285-0.281-0.355-0.328-0.369-0.0820.3490.369-0.135-0.351-0.355-0.352-0.3560.577-0.368-0.346-0.356-0.289-0.369-0.347-0.361-0.291-0.226-0.140-0.2580.2260.3750.3850.363-0.000-0.130-0.1030.7050.7050.444-0.0300.016-0.0150.0430.007-0.265-0.020-0.054-0.018-0.0450.063-0.049-0.346-0.058-0.0920.6090.2360.236-0.355-0.267-0.053-0.246-0.0930.097-0.369-0.205-0.7050.7030.705-0.357-0.328-0.367-0.0580.7050.7181.0000.0440.7040.705-0.7060.7050.7050.7051.000
System Logs First Active Alarm No-0.0320.0300.031-0.6420.0000.007-0.072-0.0030.0300.039-0.0120.0700.032-0.1140.2970.2600.303-0.0850.0050.014-0.089-0.168-0.125-0.1100.5350.108-0.204-0.197-0.197-0.218-0.230-0.198-0.2440.0300.031-0.119-0.116-0.140-0.141-0.143-0.142-0.236-0.179-0.265-0.049-0.165-0.097-0.149-0.216-0.190-0.191-0.1920.0000.0360.0260.012-0.098-0.190-0.170-0.198-0.158-0.172-0.064-0.1520.161-0.007-0.002-0.006-0.100-0.136-0.1440.0320.032-0.073-0.149-0.168-0.1461.000-0.702-0.098-0.156-0.480-0.269-0.9770.411-0.538-0.138-0.047-0.053-0.1220.0000.000-0.295-0.084-0.140-0.178-0.034-0.023-0.191-0.155-0.0310.0310.031-0.239-0.180-0.269-0.0420.0320.0340.0441.0000.0300.032-0.0310.0320.0320.0321.000
Total Active power [W]-1.0001.0001.000-0.0640.0000.5750.3280.063-0.079-0.076-0.097-0.0361.0000.3150.0260.0250.035-0.0170.7590.7170.543-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0531.0001.0000.3280.2730.276-0.013-0.017-0.015-0.088-0.081-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.4990.4750.4670.1580.0760.0921.0001.0000.5030.1530.1990.1700.030-0.016-0.0780.031-0.012-0.007-0.0310.013-0.006-0.0690.021-0.1350.5100.0000.000-0.073-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9730.7040.0301.0001.000-1.0001.0001.0001.0001.000
Total hour counter [h]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3160.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0521.0001.0000.3280.2730.276-0.013-0.018-0.015-0.088-0.082-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.032-0.017-0.0780.031-0.013-0.008-0.0340.014-0.007-0.0690.021-0.1350.5100.0000.000-0.074-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0321.0001.000-1.0001.0001.0001.0001.000
Total reactive power [var]1.000-1.000-1.0000.0670.000-0.579-0.330-0.0630.0780.0750.0960.035-1.000-0.318-0.025-0.024-0.0350.017-0.761-0.719-0.5460.025-0.363-0.165-0.0060.0040.0660.0780.0870.0910.1070.066-0.053-1.000-1.000-0.328-0.273-0.2770.0130.0180.0150.0870.0800.097-0.019-0.353-0.370-0.0750.0850.0950.0910.0940.0000.0880.0790.1150.0480.1060.0900.1230.0480.022-0.0120.094-0.073-0.501-0.476-0.469-0.158-0.077-0.093-1.000-1.000-0.506-0.153-0.200-0.171-0.0310.0170.077-0.0300.0120.0080.033-0.0130.0070.068-0.0210.135-0.5120.0000.0000.0730.095-0.0230.0290.012-0.0510.1060.0161.000-0.999-1.0000.0860.0790.096-0.025-1.000-0.974-0.706-0.031-1.000-1.0001.000-1.000-1.000-1.0001.000
Turbine ok hours [h]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3160.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0521.0001.0000.3280.2730.276-0.013-0.018-0.015-0.088-0.082-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.032-0.017-0.0780.031-0.013-0.008-0.0340.014-0.007-0.0690.021-0.1350.5100.0000.000-0.074-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0321.0001.000-1.0001.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3160.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0531.0001.0000.3280.2730.276-0.013-0.017-0.015-0.088-0.082-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.032-0.017-0.0780.031-0.013-0.008-0.0340.014-0.007-0.0690.021-0.1350.5100.0000.000-0.073-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0321.0001.000-1.0001.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.000-0.0670.0000.5760.3280.063-0.079-0.076-0.096-0.0361.0000.3160.0260.0250.035-0.0170.7600.7180.544-0.0240.3620.1640.006-0.004-0.067-0.079-0.087-0.091-0.107-0.0660.0521.0001.0000.3280.2730.276-0.013-0.018-0.015-0.088-0.082-0.0980.0180.3500.3690.075-0.085-0.096-0.092-0.0950.000-0.089-0.080-0.116-0.049-0.107-0.091-0.123-0.049-0.0220.012-0.0930.0720.5000.4760.4680.1580.0760.0931.0001.0000.5040.1530.2000.1710.032-0.017-0.0780.031-0.013-0.008-0.0340.014-0.007-0.0690.021-0.1350.5100.0000.000-0.074-0.0950.023-0.028-0.0130.050-0.107-0.016-1.0001.0001.000-0.087-0.080-0.0960.0241.0000.9740.7050.0321.0001.000-1.0001.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-05T17:41:13.344650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-05T17:41:14.100544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-05T17:41:17.628287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001060.01041.01049.02.034.038.039.039.027.036.028.052.0999.0999.052.049.00.053.054.054.063.059.028.0348.410.19.910.00.06.43.24.40.3-5.7342.812.00.033.030.031.032.0128.11.050.0568.2567.0563.870.572.681.1172.768.626.020.40.00.1-0.40.0127.0173.068.020.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.032.017.040.065.030.011.0999.0-0.4-2.1-1.10.252.056.050.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0157971600.0149549184.0143867408.0143947040.0137895536.046718524.059020196.06657338.04687410.0143906400.097141232.00.00.021617.021617.00.00.00.00.0-160025.023076680.03707836.026624492.0-127149.0445.04488.0-122215.00.00.00.0False
12020-01-01 00:10:001058.01040.01049.03.034.038.039.038.027.036.029.053.0999.0999.052.049.00.053.054.054.063.059.028.0348.410.19.910.00.05.02.43.60.3-1.0347.511.00.034.032.033.034.054.91.050.0568.2567.3564.027.430.237.795.822.925.015.30.00.2-0.30.054.095.023.015.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.032.017.040.064.032.011.0999.00.6-1.0-0.20.351.056.050.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.071.00.0157975200.0149549776.0143868000.0143947648.0137896128.046718524.059020796.06657338.04687410.0143906992.097141304.00.00.09281.09281.00.00.00.00.0-160025.023076680.03707845.026624500.0-127149.0445.04488.0-122215.00.00.00.0False
22020-01-01 00:20:001057.01042.01049.02.034.038.039.038.027.036.028.053.0999.0999.052.049.00.053.054.054.063.059.028.0348.410.110.010.00.05.52.43.80.3-5.3343.211.00.032.030.031.032.070.01.050.0569.0568.2565.036.238.446.7104.617.925.016.90.00.1-0.30.069.0106.017.017.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.032.017.040.064.030.011.0999.00.6-1.2-0.50.351.056.050.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.059.00.0157975200.0149550384.0143868608.0143948240.0137896736.046718524.059021396.06657338.04687410.0143907600.097141360.00.00.011768.011768.00.00.00.00.0-160025.023076680.03707857.026624512.0-127149.0445.04488.0-122215.00.00.00.0False
32020-01-01 00:30:001059.01041.01049.02.034.038.039.038.027.035.028.053.0999.0999.052.049.00.052.054.054.063.059.028.0348.410.19.910.00.06.32.33.90.6-4.1344.411.00.034.031.032.033.094.21.050.0569.3568.4565.151.153.261.0179.4-2.225.050.50.00.2-0.30.093.0180.0-2.050.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.032.017.039.064.031.011.0999.00.9-2.2-0.50.751.056.050.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.0239.00.0157975200.0149550976.0143869216.0143948848.0137897328.046718524.059021996.06657338.04687410.0143908192.097141600.00.00.015259.015259.00.00.00.00.0-160025.023076680.03707872.026624528.0-127149.0445.04488.0-122215.00.00.00.0False
42020-01-01 00:40:001058.01038.01049.03.034.038.039.038.027.035.029.053.0999.0999.052.049.00.053.054.054.063.059.028.0348.410.19.910.00.05.92.44.20.4-1.7346.811.00.034.031.032.033.0114.81.050.0570.1569.1566.061.765.472.5180.862.725.029.50.00.2-0.30.0114.0181.062.029.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.032.017.040.064.032.011.0999.00.2-1.9-0.90.351.056.050.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0157975200.0149551584.0143869808.0143949456.0137897936.046718524.059022600.06657338.04687410.0143908800.097142208.00.00.019229.019229.00.00.00.00.0-160025.023076680.03707891.026624548.0-127149.0445.04488.0-122215.00.00.00.0False
52020-01-01 00:50:001057.01038.01049.03.033.038.039.038.027.035.028.053.0999.0999.052.049.00.053.054.054.063.059.028.0349.510.19.910.00.05.31.93.30.4-3.4346.111.00.032.031.031.032.028.20.950.0571.1570.0566.914.515.522.383.1-6.725.017.50.00.6-0.30.027.083.0-7.017.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.032.017.039.063.030.011.0999.00.9-1.10.20.451.056.049.037.0600.0600.0600.0600.0600.00.0600.022.00.0600.033.00.0157975200.0149552176.0143870400.0143950048.0137898528.046718524.059023196.06657360.04687410.0143909392.097142232.00.00.04698.04698.00.00.00.00.0-160025.023076680.03707896.026624552.0-127149.0445.04488.0-122215.00.00.00.0False
62020-01-01 01:00:001061.01041.01049.03.033.038.039.038.027.035.029.053.0999.0999.052.049.00.053.054.054.063.059.028.0353.510.19.910.00.05.52.44.00.4-7.9345.711.00.034.032.033.034.092.21.050.0571.3570.4567.148.851.459.4164.043.825.023.30.00.6-0.50.091.0164.043.023.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.032.017.039.063.032.011.0999.00.7-1.7-0.70.451.056.049.037.0600.0600.0600.0600.0600.00.0600.023.00.0600.0328.00.0157975200.0149552784.0143871008.0143950640.0137899136.046718524.059023796.06657383.04687410.0143910000.097142560.00.00.014949.014949.00.00.00.00.0-160025.023076680.03707911.026624568.0-127149.0445.04488.0-122215.00.00.00.0False
72020-01-01 01:10:001065.01041.01049.03.033.038.039.038.027.035.028.053.0999.0999.052.049.00.053.054.054.063.059.028.0348.410.29.910.00.06.03.04.30.4-8.8339.711.00.033.030.031.032.0119.71.050.0570.5569.8566.664.868.375.0218.168.025.032.50.00.2-0.30.0119.0218.067.032.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.032.017.039.063.030.011.0999.0-0.4-2.4-1.10.351.056.049.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0157978800.0149553376.0143871600.0143951248.0137899728.046718524.059024392.06657383.04687410.0143910592.097143160.00.00.019819.019819.00.00.00.00.0-160025.023076680.03707931.026624588.0-127149.0445.04488.0-122215.00.00.00.0False
82020-01-01 01:20:001062.01038.01049.04.033.038.039.038.027.035.029.053.0999.0999.052.049.00.053.054.054.063.059.028.0339.110.19.910.00.06.22.64.40.5-3.3335.811.00.035.032.033.034.0144.21.050.0572.0570.7567.879.082.189.5220.360.925.033.90.00.6-0.60.0143.0220.061.033.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.032.017.039.063.032.011.0999.0-0.1-2.3-1.20.451.056.049.037.0600.0600.0600.0600.0600.00.0600.020.00.0600.0600.00.0157978800.0149553984.0143872208.0143951840.0137900336.046718524.059024996.06657403.04687410.0143911200.097143760.00.00.023984.023984.00.00.00.00.0-160025.023076680.03707955.026624612.0-127149.0445.04488.0-122215.00.00.00.0False
92020-01-01 01:30:001058.01040.01049.03.033.038.039.039.027.035.028.054.0999.0999.052.049.00.054.054.054.063.059.028.0338.710.19.910.00.06.63.04.40.4-3.8334.911.00.033.030.031.032.0136.41.050.0573.0571.8569.174.477.484.7173.689.225.016.10.00.3-0.30.0136.0174.088.016.00.00.00.00.00.00.00.00.03000.011.00.01.011.015.032.017.039.064.030.011.0999.0-0.4-2.0-1.10.251.056.049.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0157978800.0149554576.0143872800.0143952448.0137900928.046718524.059025596.06657403.04687410.0143911792.097144360.00.00.022809.022809.00.00.00.00.0-160025.023076680.03707977.026624632.0-127149.0445.04488.0-122215.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001309.01116.01200.048.042.046.047.047.032.044.034.047.0999.0999.053.049.00.057.057.055.064.059.034.0357.412.510.711.40.47.55.06.30.31.6359.124.00.039.036.038.038.0333.01.050.0585.9584.4581.7183.4188.8195.3421.5252.134.033.30.00.5-0.70.0332.0424.0251.033.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.039.034.045.073.037.028.0999.0-2.3-2.8-2.50.054.061.054.045.0600.0600.0600.0600.0600.00.0600.016.00.0600.0600.00.0173692800.0164883776.0159123648.0159173808.0152811696.051911936.065840520.07371840.04762942.0159046016.0107464352.00.00.055204.055204.00.00.00.00.0-172611.025550260.04150948.029528598.0-138206.0501.04936.0-132768.00.00.00.0False
261992020-06-30 22:30:001286.01076.01218.036.042.046.047.047.032.045.034.048.0999.0999.053.049.00.057.057.055.065.059.034.0359.212.310.311.60.37.34.76.40.30.80.124.00.039.036.037.038.0358.01.050.0588.0586.3583.5196.8202.5209.1452.1198.834.040.00.00.2-0.30.0357.0456.0197.040.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.039.034.045.073.037.028.0999.0-2.0-2.8-2.50.054.061.054.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0173692800.0164884384.0159124240.0159174416.0152812288.051911936.065841120.07371840.04762942.0159046608.0107464952.00.00.059652.059652.00.00.00.00.0-172611.025550260.04151008.029528656.0-138206.0501.04936.0-132768.00.00.00.0False
262002020-06-30 22:40:001266.01152.01217.025.043.046.047.047.032.045.034.049.0999.0999.053.049.00.058.057.056.065.059.034.0359.212.111.011.60.27.25.66.40.23.12.424.00.039.036.038.038.0373.71.050.0589.0587.3584.7205.3211.0217.4454.3292.734.034.50.00.2-0.30.0373.0456.0292.034.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.038.034.045.073.037.027.0999.0-2.3-2.8-2.50.054.061.054.044.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0173692800.0164884992.0159124848.0159175024.0152812896.051911936.065841720.07371840.04762942.0159047216.0107465552.00.00.062230.062230.00.00.00.00.0-172611.025550260.04151070.029528720.0-138206.0501.04936.0-132768.00.00.00.0False
262012020-06-30 22:50:001262.01055.01175.048.043.046.047.047.032.045.034.051.0999.0999.053.049.00.057.057.055.064.059.034.0341.312.110.111.20.47.34.36.10.44.34.224.00.039.036.037.038.0340.51.050.0589.5587.8584.5186.0191.5199.2455.6177.534.048.30.00.5-0.70.0339.0458.0176.048.00.00.00.00.00.00.00.00.03000.011.00.01.011.033.038.034.045.074.037.027.0999.0-1.8-2.8-2.50.154.061.054.044.0600.0600.0600.0600.0600.00.0600.015.00.0600.0600.00.0173692800.0164885584.0159125440.0159175616.0152813488.051911936.065842320.07371855.04762942.0159047808.0107466152.00.00.056597.056597.00.00.00.00.0-172611.025550260.04151126.029528776.0-138206.0501.04936.0-132768.00.00.00.0False
262022020-06-30 23:00:001259.01048.01172.049.043.046.047.046.032.045.034.051.0999.0999.053.048.00.057.057.055.064.059.034.07.112.010.011.10.47.34.56.10.40.17.224.00.039.036.037.038.0320.21.050.0590.2588.0584.9174.1179.9187.9419.0195.334.038.60.00.2-0.30.0319.0421.0187.039.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.038.033.045.074.036.027.0999.0-1.7-2.8-2.50.154.061.054.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0173692800.0164886176.0159126048.0159176208.0152814096.051911936.065842920.07371855.04762942.0159048416.0107466752.00.00.053685.053685.00.00.00.00.0-172611.025550260.04151180.029528830.0-138206.0501.04936.0-132768.00.00.00.0False
262032020-06-30 23:10:001191.01052.01095.025.043.046.047.046.032.045.033.052.0999.0999.053.049.00.056.056.055.063.059.034.013.911.410.010.40.26.85.05.70.2-1.412.524.00.039.035.037.037.0274.91.050.0590.9588.6585.6148.5154.0162.0340.9190.634.027.60.00.6-1.00.0274.0342.0187.027.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.038.033.045.074.036.027.0999.0-2.3-2.8-2.50.054.061.054.045.0600.0600.0600.0600.0600.00.0600.014.00.0600.0600.00.0173696400.0164886784.0159126640.0159176816.0152814688.051911936.065843520.07371870.04762942.0159049008.0107467352.00.00.045547.045547.00.00.00.00.0-172611.025550260.04151226.029528876.0-138206.0501.04936.0-132768.00.00.00.0False
262042020-06-30 23:20:001139.01044.01064.018.043.045.046.046.031.045.034.053.0999.0999.052.049.00.056.056.054.063.060.034.014.710.910.010.10.16.74.85.50.2-5.88.924.00.040.036.037.038.0247.51.050.0590.4587.9585.1133.2138.5146.6311.7167.334.019.00.00.2-0.30.0247.0312.0165.019.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.038.033.045.075.037.027.0999.0-2.2-2.8-2.40.154.061.054.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0173696400.0164887392.0159127248.0159177408.0152815296.051911936.065844120.07371870.04762942.0159049616.0107467952.00.00.041295.041295.00.00.00.00.0-172611.025550260.04151267.029528916.0-138206.0501.04936.0-132768.00.00.00.0False
262052020-06-30 23:30:001063.01044.01049.02.042.045.046.046.031.045.035.054.0999.0999.052.049.00.055.055.054.063.059.034.014.710.210.010.00.06.34.45.00.2-7.17.624.00.041.037.038.039.0203.01.050.0589.0585.8583.2107.5113.8121.7239.0167.434.018.60.00.2-0.30.0202.0239.0167.018.00.00.00.00.00.00.00.00.03000.011.00.01.011.032.038.033.045.076.038.027.0999.0-1.4-2.7-2.00.254.061.054.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0173696400.0164887984.0159127840.0159178016.0152815904.051911936.065844720.07371870.04762942.0159050208.0107468552.00.00.033979.033979.00.00.00.00.0-172611.025550260.04151301.029528952.0-138206.0501.04936.0-132768.00.00.00.0False
262062020-06-30 23:40:001063.01043.01049.02.042.045.046.046.031.045.036.052.0999.0999.052.049.00.054.055.054.062.059.034.014.710.210.010.00.06.24.45.00.2-5.59.225.00.041.038.039.039.0182.61.050.0587.1583.9581.496.0102.6110.4212.8150.834.012.70.00.1-0.30.0182.0213.0150.012.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.038.033.045.075.039.027.0999.0-1.6-2.6-2.00.254.061.054.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0173696400.0164888592.0159128448.0159178624.0152816496.051911936.065845320.07371870.04762942.0159050816.0107469152.00.00.030446.030446.00.00.00.00.0-172611.025550260.04151331.029528980.0-138206.0501.04936.0-132768.00.00.00.0False
262072020-06-30 23:50:001057.01043.01049.02.042.045.046.046.032.045.035.045.0999.0999.052.049.00.054.055.054.062.059.034.014.710.110.010.00.05.54.04.60.2-2.212.525.00.040.037.038.039.0148.31.050.0584.6581.2578.776.783.491.2193.2117.734.013.30.00.2-0.30.0147.0193.0117.013.00.00.00.00.00.00.00.00.03000.011.00.01.011.031.038.033.045.075.038.027.0999.0-0.9-2.1-1.40.254.061.054.044.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0173696400.0164889184.0159129040.0159179216.0152817088.051911936.065845920.07371870.04762942.0159051408.0107469752.00.00.024823.024823.00.00.00.00.0-172611.025550260.04151356.029529006.0-138206.0501.04936.0-132768.00.00.00.0False